{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ed3da178-8553-4872-a7ce-c2df5054f23c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#导入需要的库\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.preprocessing import StandardScaler\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5a316ddb-245e-4d5c-98ee-cd2f0f609b25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>event_time</th>\n",
       "      <th>order_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>category_id</th>\n",
       "      <th>category_code</th>\n",
       "      <th>brand</th>\n",
       "      <th>price</th>\n",
       "      <th>user_id</th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>local</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2020-04-24 11:50:39 UTC</td>\n",
       "      <td>2294359932054536986</td>\n",
       "      <td>1515966223509089906</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.tablet</td>\n",
       "      <td>samsung</td>\n",
       "      <td>162.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.0</td>\n",
       "      <td>女</td>\n",
       "      <td>海南</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-04-24 11:50:39 UTC</td>\n",
       "      <td>2294359932054536986</td>\n",
       "      <td>1515966223509089906</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.tablet</td>\n",
       "      <td>samsung</td>\n",
       "      <td>162.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.0</td>\n",
       "      <td>女</td>\n",
       "      <td>海南</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2020-04-24 14:37:43 UTC</td>\n",
       "      <td>2294444024058086220</td>\n",
       "      <td>2273948319057183658</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.audio.headphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>77.52</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2020-04-24 14:37:43 UTC</td>\n",
       "      <td>2294444024058086220</td>\n",
       "      <td>2273948319057183658</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.audio.headphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>77.52</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2020-04-24 19:16:21 UTC</td>\n",
       "      <td>2294584263154074236</td>\n",
       "      <td>2273948316817424439</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>karcher</td>\n",
       "      <td>217.57</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>32.0</td>\n",
       "      <td>女</td>\n",
       "      <td>广东</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564164</th>\n",
       "      <td>2633516</td>\n",
       "      <td>2020-11-21 10:10:01 UTC</td>\n",
       "      <td>2388440981134693942</td>\n",
       "      <td>1515966223526602848</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>oppo</td>\n",
       "      <td>138.87</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>男</td>\n",
       "      <td>上海</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564165</th>\n",
       "      <td>2633517</td>\n",
       "      <td>2020-11-21 10:10:13 UTC</td>\n",
       "      <td>2388440981134693943</td>\n",
       "      <td>1515966223509089282</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.smartphone</td>\n",
       "      <td>apple</td>\n",
       "      <td>418.96</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>21.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564166</th>\n",
       "      <td>2633518</td>\n",
       "      <td>2020-11-21 10:10:30 UTC</td>\n",
       "      <td>2388440981134693944</td>\n",
       "      <td>1515966223509089917</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.personal.scales</td>\n",
       "      <td>vitek</td>\n",
       "      <td>12.48</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>19.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564167</th>\n",
       "      <td>2633519</td>\n",
       "      <td>2020-11-21 10:10:30 UTC</td>\n",
       "      <td>2388440981134693944</td>\n",
       "      <td>2273948184839454837</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>moulinex</td>\n",
       "      <td>41.64</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>19.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564168</th>\n",
       "      <td>2633520</td>\n",
       "      <td>2020-11-21 10:10:30 UTC</td>\n",
       "      <td>2388440981134693944</td>\n",
       "      <td>1515966223509127566</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>appliances.kitchen.blender</td>\n",
       "      <td>redmond</td>\n",
       "      <td>53.22</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>19.0</td>\n",
       "      <td>女</td>\n",
       "      <td>上海</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>564169 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0               event_time             order_id  \\\n",
       "0                0  2020-04-24 11:50:39 UTC  2294359932054536986   \n",
       "1                1  2020-04-24 11:50:39 UTC  2294359932054536986   \n",
       "2                2  2020-04-24 14:37:43 UTC  2294444024058086220   \n",
       "3                3  2020-04-24 14:37:43 UTC  2294444024058086220   \n",
       "4                4  2020-04-24 19:16:21 UTC  2294584263154074236   \n",
       "...            ...                      ...                  ...   \n",
       "564164     2633516  2020-11-21 10:10:01 UTC  2388440981134693942   \n",
       "564165     2633517  2020-11-21 10:10:13 UTC  2388440981134693943   \n",
       "564166     2633518  2020-11-21 10:10:30 UTC  2388440981134693944   \n",
       "564167     2633519  2020-11-21 10:10:30 UTC  2388440981134693944   \n",
       "564168     2633520  2020-11-21 10:10:30 UTC  2388440981134693944   \n",
       "\n",
       "                 product_id   category_id                category_code  \\\n",
       "0       1515966223509089906  2.268105e+18           electronics.tablet   \n",
       "1       1515966223509089906  2.268105e+18           electronics.tablet   \n",
       "2       2273948319057183658  2.268105e+18  electronics.audio.headphone   \n",
       "3       2273948319057183658  2.268105e+18  electronics.audio.headphone   \n",
       "4       2273948316817424439  2.268105e+18                          NaN   \n",
       "...                     ...           ...                          ...   \n",
       "564164  1515966223526602848  2.268105e+18       electronics.smartphone   \n",
       "564165  1515966223509089282  2.268105e+18       electronics.smartphone   \n",
       "564166  1515966223509089917  2.268105e+18   appliances.personal.scales   \n",
       "564167  2273948184839454837  2.268105e+18                          NaN   \n",
       "564168  1515966223509127566  2.268105e+18   appliances.kitchen.blender   \n",
       "\n",
       "           brand   price       user_id   age sex local  \n",
       "0        samsung  162.01  1.515916e+18  24.0   女    海南  \n",
       "1        samsung  162.01  1.515916e+18  24.0   女    海南  \n",
       "2         huawei   77.52  1.515916e+18  38.0   女    北京  \n",
       "3         huawei   77.52  1.515916e+18  38.0   女    北京  \n",
       "4        karcher  217.57  1.515916e+18  32.0   女    广东  \n",
       "...          ...     ...           ...   ...  ..   ...  \n",
       "564164      oppo  138.87  1.515916e+18  21.0   男    上海  \n",
       "564165     apple  418.96  1.515916e+18  21.0   女    北京  \n",
       "564166     vitek   12.48  1.515916e+18  19.0   女    上海  \n",
       "564167  moulinex   41.64  1.515916e+18  19.0   女    上海  \n",
       "564168   redmond   53.22  1.515916e+18  19.0   女    上海  \n",
       "\n",
       "[564169 rows x 12 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#读取数据\n",
    "data=pd.read_csv(\"电子产品销售分析.csv\")\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "93971a40-1897-4dee-806f-736139ddbc25",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 564169 entries, 0 to 564168\n",
      "Data columns (total 12 columns):\n",
      " #   Column         Non-Null Count   Dtype  \n",
      "---  ------         --------------   -----  \n",
      " 0   Unnamed: 0     564169 non-null  int64  \n",
      " 1   event_time     564169 non-null  object \n",
      " 2   order_id       564169 non-null  int64  \n",
      " 3   product_id     564169 non-null  int64  \n",
      " 4   category_id    564169 non-null  float64\n",
      " 5   category_code  434799 non-null  object \n",
      " 6   brand          536945 non-null  object \n",
      " 7   price          564169 non-null  float64\n",
      " 8   user_id        564169 non-null  float64\n",
      " 9   age            564169 non-null  float64\n",
      " 10  sex            564169 non-null  object \n",
      " 11  local          564169 non-null  object \n",
      "dtypes: float64(4), int64(3), object(5)\n",
      "memory usage: 51.7+ MB\n"
     ]
    }
   ],
   "source": [
    "#数据信息\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c05d27e6-48f7-4294-a897-a8c252d1401d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>order_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>category_id</th>\n",
       "      <th>price</th>\n",
       "      <th>user_id</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.641690e+05</td>\n",
       "      <td>5.641690e+05</td>\n",
       "      <td>5.641690e+05</td>\n",
       "      <td>5.641690e+05</td>\n",
       "      <td>564169.000000</td>\n",
       "      <td>5.641690e+05</td>\n",
       "      <td>564169.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.792965e+06</td>\n",
       "      <td>2.370552e+18</td>\n",
       "      <td>1.695711e+18</td>\n",
       "      <td>2.272919e+18</td>\n",
       "      <td>208.269324</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>33.184388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.745342e+05</td>\n",
       "      <td>2.025138e+16</td>\n",
       "      <td>3.290688e+17</td>\n",
       "      <td>2.158282e+16</td>\n",
       "      <td>304.559875</td>\n",
       "      <td>2.377083e+07</td>\n",
       "      <td>10.122088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.294360e+18</td>\n",
       "      <td>1.515966e+18</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>16.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.658965e+06</td>\n",
       "      <td>2.353294e+18</td>\n",
       "      <td>1.515966e+18</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>23.130000</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.861597e+06</td>\n",
       "      <td>2.376886e+18</td>\n",
       "      <td>1.515966e+18</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>87.940000</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>33.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.473370e+06</td>\n",
       "      <td>2.388441e+18</td>\n",
       "      <td>1.515966e+18</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>277.750000</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>42.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.633520e+06</td>\n",
       "      <td>2.388441e+18</td>\n",
       "      <td>2.388434e+18</td>\n",
       "      <td>2.374499e+18</td>\n",
       "      <td>18328.680000</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0      order_id    product_id   category_id          price  \\\n",
       "count  5.641690e+05  5.641690e+05  5.641690e+05  5.641690e+05  564169.000000   \n",
       "mean   1.792965e+06  2.370552e+18  1.695711e+18  2.272919e+18     208.269324   \n",
       "std    7.745342e+05  2.025138e+16  3.290688e+17  2.158282e+16     304.559875   \n",
       "min    0.000000e+00  2.294360e+18  1.515966e+18  2.268105e+18       0.000000   \n",
       "25%    1.658965e+06  2.353294e+18  1.515966e+18  2.268105e+18      23.130000   \n",
       "50%    1.861597e+06  2.376886e+18  1.515966e+18  2.268105e+18      87.940000   \n",
       "75%    2.473370e+06  2.388441e+18  1.515966e+18  2.268105e+18     277.750000   \n",
       "max    2.633520e+06  2.388441e+18  2.388434e+18  2.374499e+18   18328.680000   \n",
       "\n",
       "            user_id            age  \n",
       "count  5.641690e+05  564169.000000  \n",
       "mean   1.515916e+18      33.184388  \n",
       "std    2.377083e+07      10.122088  \n",
       "min    1.515916e+18      16.000000  \n",
       "25%    1.515916e+18      24.000000  \n",
       "50%    1.515916e+18      33.000000  \n",
       "75%    1.515916e+18      42.000000  \n",
       "max    1.515916e+18      50.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#数据描述\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "667716c2-533e-4ebf-a883-4b223a8b117c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看重复值\n",
    "data.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "221344c5-4a4c-48cb-9c63-940ea71a7f1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0            0\n",
       "event_time            0\n",
       "order_id              0\n",
       "product_id            0\n",
       "category_id           0\n",
       "category_code    129370\n",
       "brand             27224\n",
       "price                 0\n",
       "user_id               0\n",
       "age                   0\n",
       "sex                   0\n",
       "local                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看缺失值\n",
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "128ece52-995b-45e4-83d7-94c268c35751",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0         int64\n",
       "event_time        object\n",
       "order_id           int64\n",
       "product_id         int64\n",
       "category_id      float64\n",
       "category_code     object\n",
       "brand             object\n",
       "price            float64\n",
       "user_id          float64\n",
       "age              float64\n",
       "sex               object\n",
       "local             object\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数据类型\n",
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5454a636-31b9-4344-96e9-ca0a056b9a45",
   "metadata": {},
   "outputs": [],
   "source": [
    "#转换时间类型\n",
    "data[\"time\"] = pd.to_datetime(data[\"event_time\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d3950c09-eed6-4607-aacb-ba79c3d1a7a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0                     int64\n",
       "event_time                    object\n",
       "order_id                       int64\n",
       "product_id                     int64\n",
       "category_id                  float64\n",
       "category_code                 object\n",
       "brand                         object\n",
       "price                        float64\n",
       "user_id                      float64\n",
       "age                          float64\n",
       "sex                           object\n",
       "local                         object\n",
       "time             datetime64[ns, UTC]\n",
       "dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看转换类型结果\n",
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1cc03383-155a-4a56-99de-2b00d43f8d8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "年龄最小值: 16.0\n",
      "年龄平均值: 33.18438801139375\n",
      "年龄最大值: 50.0\n"
     ]
    }
   ],
   "source": [
    "#关于年龄的数据分析\n",
    "print('年龄最小值: {}'.format(data['age'].min()))\n",
    "print('年龄平均值: {}'.format(data['age'].mean()))\n",
    "print('年龄最大值: {}'.format(data['age'].max()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fbf8c30a-785d-4e02-a0c5-17bea723aa78",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Unnamed: 0</th>\n",
       "      <th>event_time</th>\n",
       "      <th>order_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>category_id</th>\n",
       "      <th>category_code</th>\n",
       "      <th>brand</th>\n",
       "      <th>price</th>\n",
       "      <th>user_id</th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>local</th>\n",
       "      <th>time</th>\n",
       "      <th>agegroup</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2020-04-24 11:50:39 UTC</td>\n",
       "      <td>2294359932054536986</td>\n",
       "      <td>1515966223509089906</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.tablet</td>\n",
       "      <td>samsung</td>\n",
       "      <td>162.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.0</td>\n",
       "      <td>女</td>\n",
       "      <td>海南</td>\n",
       "      <td>2020-04-24 11:50:39+00:00</td>\n",
       "      <td>(23.0, 26.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-04-24 11:50:39 UTC</td>\n",
       "      <td>2294359932054536986</td>\n",
       "      <td>1515966223509089906</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.tablet</td>\n",
       "      <td>samsung</td>\n",
       "      <td>162.01</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>24.0</td>\n",
       "      <td>女</td>\n",
       "      <td>海南</td>\n",
       "      <td>2020-04-24 11:50:39+00:00</td>\n",
       "      <td>(23.0, 26.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2020-04-24 14:37:43 UTC</td>\n",
       "      <td>2294444024058086220</td>\n",
       "      <td>2273948319057183658</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.audio.headphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>77.52</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>2020-04-24 14:37:43+00:00</td>\n",
       "      <td>(37.0, 41.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2020-04-24 14:37:43 UTC</td>\n",
       "      <td>2294444024058086220</td>\n",
       "      <td>2273948319057183658</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>electronics.audio.headphone</td>\n",
       "      <td>huawei</td>\n",
       "      <td>77.52</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>38.0</td>\n",
       "      <td>女</td>\n",
       "      <td>北京</td>\n",
       "      <td>2020-04-24 14:37:43+00:00</td>\n",
       "      <td>(37.0, 41.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2020-04-24 19:16:21 UTC</td>\n",
       "      <td>2294584263154074236</td>\n",
       "      <td>2273948316817424439</td>\n",
       "      <td>2.268105e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>karcher</td>\n",
       "      <td>217.57</td>\n",
       "      <td>1.515916e+18</td>\n",
       "      <td>32.0</td>\n",
       "      <td>女</td>\n",
       "      <td>广东</td>\n",
       "      <td>2020-04-24 19:16:21+00:00</td>\n",
       "      <td>(30.0, 33.0]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0               event_time             order_id  \\\n",
       "0           0  2020-04-24 11:50:39 UTC  2294359932054536986   \n",
       "1           1  2020-04-24 11:50:39 UTC  2294359932054536986   \n",
       "2           2  2020-04-24 14:37:43 UTC  2294444024058086220   \n",
       "3           3  2020-04-24 14:37:43 UTC  2294444024058086220   \n",
       "4           4  2020-04-24 19:16:21 UTC  2294584263154074236   \n",
       "\n",
       "            product_id   category_id                category_code    brand  \\\n",
       "0  1515966223509089906  2.268105e+18           electronics.tablet  samsung   \n",
       "1  1515966223509089906  2.268105e+18           electronics.tablet  samsung   \n",
       "2  2273948319057183658  2.268105e+18  electronics.audio.headphone   huawei   \n",
       "3  2273948319057183658  2.268105e+18  electronics.audio.headphone   huawei   \n",
       "4  2273948316817424439  2.268105e+18                          NaN  karcher   \n",
       "\n",
       "    price       user_id   age sex local                      time  \\\n",
       "0  162.01  1.515916e+18  24.0   女    海南 2020-04-24 11:50:39+00:00   \n",
       "1  162.01  1.515916e+18  24.0   女    海南 2020-04-24 11:50:39+00:00   \n",
       "2   77.52  1.515916e+18  38.0   女    北京 2020-04-24 14:37:43+00:00   \n",
       "3   77.52  1.515916e+18  38.0   女    北京 2020-04-24 14:37:43+00:00   \n",
       "4  217.57  1.515916e+18  32.0   女    广东 2020-04-24 19:16:21+00:00   \n",
       "\n",
       "       agegroup  \n",
       "0  (23.0, 26.0]  \n",
       "1  (23.0, 26.0]  \n",
       "2  (37.0, 41.0]  \n",
       "3  (37.0, 41.0]  \n",
       "4  (30.0, 33.0]  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#对年龄进行分组\n",
    "age_qcut=pd.qcut(data['age'],10)\n",
    "data['agegroup']=age_qcut\n",
    "data.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "abd7dada-7e1f-45bd-9f2f-0d98f71c3dc9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\bayes\\AppData\\Local\\Temp\\ipykernel_26824\\661838981.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  dfage=data.groupby(['agegroup'])['price'].sum().reset_index()\n"
     ]
    },
    {
     "data": {
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(19.0, 23.0]</td>\n",
       "      <td>13689536.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(23.0, 26.0]</td>\n",
       "      <td>10025005.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(26.0, 30.0]</td>\n",
       "      <td>13652908.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(30.0, 33.0]</td>\n",
       "      <td>10375077.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>(33.0, 37.0]</td>\n",
       "      <td>13114865.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>(37.0, 41.0]</td>\n",
       "      <td>12642897.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>(41.0, 44.0]</td>\n",
       "      <td>10793244.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>(44.0, 47.0]</td>\n",
       "      <td>10101273.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>(47.0, 50.0]</td>\n",
       "      <td>10466421.20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         agegroup        price\n",
       "0  (15.999, 19.0]  12637867.15\n",
       "1    (19.0, 23.0]  13689536.64\n",
       "2    (23.0, 26.0]  10025005.30\n",
       "3    (26.0, 30.0]  13652908.24\n",
       "4    (30.0, 33.0]  10375077.12\n",
       "5    (33.0, 37.0]  13114865.07\n",
       "6    (37.0, 41.0]  12642897.42\n",
       "7    (41.0, 44.0]  10793244.97\n",
       "8    (44.0, 47.0]  10101273.29\n",
       "9    (47.0, 50.0]  10466421.20"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#年龄段差异的可视化分析\n",
    "dfage=data.groupby(['agegroup'])['price'].sum().reset_index()\n",
    "dfage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c973f9c7-0a5b-4a9a-b7af-781ef512e356",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
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       "    <tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(23.0, 26.0]</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "         agegroup        price\n",
       "1    (19.0, 23.0]  13689536.64\n",
       "3    (26.0, 30.0]  13652908.24\n",
       "5    (33.0, 37.0]  13114865.07\n",
       "6    (37.0, 41.0]  12642897.42\n",
       "0  (15.999, 19.0]  12637867.15\n",
       "7    (41.0, 44.0]  10793244.97\n",
       "9    (47.0, 50.0]  10466421.20\n",
       "4    (30.0, 33.0]  10375077.12\n",
       "8    (44.0, 47.0]  10101273.29\n",
       "2    (23.0, 26.0]  10025005.30"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline \n",
    "df1 = dfage.sort_values([\"price\"], ascending=False)\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "babeb8c9-d6ca-4d43-a700-3caa7cedce6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "# 设置中文字体，避免中文显示异常，这里以 SimHei 为例（需系统有该字体，或替换为其他支持中文的字体路径）\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  \n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决负号显示为方块的问题\n",
    "\n",
    "# 创建画布和子图，可设置画布大小\n",
    "fig, ax = plt.subplots(figsize=(8, 5))  \n",
    "\n",
    "# 绘制柱状图，设置柱子宽度、颜色等\n",
    "df1[\"price\"].plot(kind=\"barh\", ax=ax, color=\"#1b48fc\", width=0.6)  \n",
    "\n",
    "# 隐藏右侧和顶部的边框\n",
    "ax.spines['right'].set_visible(False)  \n",
    "ax.spines['top'].set_visible(False)  \n",
    "\n",
    "# 设置标题，可调整字体大小、加粗等\n",
    "ax.set_title(\"不同年龄段销售情况\", fontsize=14, fontweight='bold')  \n",
    "\n",
    "# 设置坐标轴标签字体大小\n",
    "ax.set_xlabel(\"销售额\", fontsize=12)  \n",
    "ax.set_ylabel(\"年龄段\", fontsize=12)  \n",
    "\n",
    "# 调整坐标轴刻度字体大小\n",
    "ax.tick_params(axis='both', labelsize=10)  \n",
    "\n",
    "# 给每个柱子添加数值标签\n",
    "for i, v in enumerate(df1[\"price\"]):\n",
    "    ax.text(v + 5, i, f'{v}', va='center', fontsize=10)  \n",
    "\n",
    "plt.tight_layout()  # 自动优化布局，避免元素重叠\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1cacf155-328c-44b7-b0fb-ce31ad74a452",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sex</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>女</td>\n",
       "      <td>58348617.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>男</td>\n",
       "      <td>59150479.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  sex       price\n",
       "0   女  58348617.2\n",
       "1   男  59150479.2"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#关于性别的数据分析\n",
    "dfsex=data.groupby('sex')['price'].sum().reset_index()\n",
    "dfsex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7fd48a6a-dc0f-4b18-84b9-88a43182a48f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#导入数据\n",
    "x=dfsex['price'].tolist()\n",
    "labels = dfsex['sex'].tolist()\n",
    "\n",
    "#饼图\n",
    "plt.pie(x,#导入数据\n",
    "        autopct='%.1f%%',#数据标签\n",
    "        labels=labels,\n",
    "        startangle=90, #初始角度\n",
    "        pctdistance=0.87,  # 设置百分比标签与圆心的距离\n",
    "        explode=[0.01,0], # 突出显示数据\n",
    "        textprops = {'fontsize':12, 'color':'k'}, # 设置文本标签的属性值\n",
    "        counterclock = False, # 是否逆时针\n",
    "                   )\n",
    "\n",
    "plt.title(\"不同性别交易金额占比\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d79c3c74-8a58-4a1d-9703-d3cfd9f498b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fXxEeHq71uL179wo/Pz9hZmYmPD09xddff611/tixY6JFixbC3t5e2Nvbi06dOklO0D569KioW7euMDU1FS4uLuL06dOvnfVN2LVrl6hfv76wtrYWarVaTJgwQTx8+FBzPjc3V4wYMUI4OzsLGxsb0b59e83E4mfpeuL237+uWbNmYurUqUIIIW7duiXs7e1FuXLlhKmpqQAgjIyMxLhx416a5++io6NFkyZNhLm5ufDy8hJr167VnMvJyRGffPKJsLW1Fa6uriI0NFQMGTJEeHt7i6KiIq3n2b59u/Dx8REmJibCy8tLpKSkaM5t3LhR1KhRQ5ibm4uqVatqva7s7Gzh4eEhypUrJ8zNzTV/B3v06KF5TFFRkRg/frxwdnYWlpaWokuXLiIxMfGVf15SXvS4V73nRUVFYsKECcLT01OYm5uLypUrix9++OGVvx8pg0qIf7CxERG90rRp07B582bExsbKHYX+Rd5//31UqVIF/fr1g4WFBXJycrBs2TLs3r0b9+/flzvea+vTpw8yMjIQFhYGa2trPHz4EFu2bMH333+P9PR0WbauISotXm4jIjIgn3/+OWbNmoXOnTsjJycH9vb28PX1xcaNG+WOVirDhw/HpEmT0K1bN2RlZcHKygq1a9fGzz//zIJE/xocSSIiIiKSwLvbiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBd7f9QyUlJUhJSYGtre1rbTFBRERE8hNCaBYXNTJ6+VgRS9I/lJKSAjc3N7ljEBER0T+QlJQEV1fXlz6GJekferpFQFJSEuzs7GROQ0RERK8jKysLbm5ur7XVD0vSP/T0EpudnR1LEhER0b/M60yV4cRtIiIiIgksSUREREQSWJKIiIiIJLAkEREREUlgSSIiIiKSwJJEREREJIEliYiIiEgCSxIRERGRBJYkIiIiIgksSUREREQSWJKIiIiIJLAkEREREUlgSSIiIiKSwJJEREREJIEliYiIiEiCidwB6OU8x++QO8IbcWNOgNwRiIiISoUjSUREREQSWJKIiIiIJLAkEREREUlgSSIiIiKSIFtJSk9Ph1qtxo0bNzTHYmNj4efnB0dHR4wbNw5CCNnOERERkbLJUpLu3buHTp06aRWkgoICdO7cGb6+voiJiUFcXBzCw8NlOUdEREQkS0n65JNP8Mknn2gd27VrFzIzMzFv3jxUrlwZs2bNwooVK2Q5R0RERCRLSVq6dClGjhypdezs2bNo2LAhrKysAAC1a9dGXFycLOekFBQUICsrS+uDiIiI3l6ylCQvL6/njmVlZUGtVms+V6lUMDY2RkZGht7PSZk9ezbs7e01H25ubv/TnwEREREZNoO5u83ExATm5uZaxywsLJCXl6f3c1ImTJiAzMxMzUdSUtI/falERET0L2AwJcnJyQlpaWlax7Kzs2FmZqb3c1LMzc1hZ2en9UFERERvL4MpSX5+fjh27Jjm8xs3bqCgoABOTk56P0dERERkMCWpadOmyMzMxOrVqwEAc+bMQevWrWFsbKz3c0REREQqIeMKiiqVCgkJCfD09AQAbN26FUFBQbC1tUVxcTGioqJQo0YNWc69SlZWFuzt7ZGZmanTS2+e43fo7Ln16cacALkjEBERlernt6wlSUpycjJiYmLQuHFjODs7y3ruZViSSocliYiIDMG/uiT9W7AklQ5LEhERGYLS/Pw2mDlJRERERIaEJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIikmBwJWnNmjVwd3eHjY0NWrdujRs3bgAAYmNj4efnB0dHR4wbNw5CCM3X6OIcERERKZtBlaTr169j0qRJ2Lp1K+Li4uDh4YF+/fqhoKAAnTt3hq+vL2JiYhAXF4fw8HAA0Mk5IiIiIoMqSadPn0bDhg1Rr149uLu7IyQkBFeuXMGuXbuQmZmJefPmoXLlypg1axZWrFgBADo5R0RERGRQJal69erYt28fTp8+jczMTPz4449o06YNzp49i4YNG8LKygoAULt2bcTFxQGATs4RERERmcgd4FnVq1dH9+7dUa9ePQCAWq3G8ePHMWfOHKjVas3jVCoVjI2NkZGRgaysrDd+ztHR8blsBQUFKCgo0HyelZX1Rl87ERERGRaDGkk6duwYtm/fjuPHjyM7Oxs9e/ZEx44dYWJiAnNzc63HWlhYIC8vTyfnpMyePRv29vaaDzc3tzfwiomIiMhQGVRJ2rhxIz755BM0aNAANjY2mDlzJuLj4+Hk5IS0tDStx2ZnZ8PMzEwn56RMmDABmZmZmo+kpKQ38IqJiIjIUBlUSXr06BHu3r2r+Tw7Oxu5ubkwMTHBsWPHNMdv3LiBgoICODk5wc/P742fk2Jubg47OzutDyIiInp7GVRJeu+997BlyxZ89913WLduHQIDA1G+fHn85z//QWZmJlavXg0AmDNnDlq3bg1jY2M0bdr0jZ8jIiIiUgkDWkFRCIEZM2bgp59+wu3bt1GzZk0sW7YMvr6+2Lp1K4KCgmBra4vi4mJERUWhRo0aAKCTc6+SlZUFe3t7ZGZm6nRUyXP8Dp09tz7dmBMgdwQiIqJS/fw2qJL0KsnJyYiJiUHjxo3h7Oys83Mvw5JUOixJRERkCErz89uglgB4FRcXF7i4uOjtHBERESmXQc1JIiIiIjIULElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEv5RSTpy5AjGjx+PXr164ebNm/jss8+Qn5//prMRERERyabUJWnBggVo3749EhMT8dtvv6GwsBAnTpzA8OHDdZGPiIiISBalLklff/019uzZg3Xr1sHc3Bzm5uZYuHAhfvvtN13kIyIiIpJFqUuSqakpVCqV1rGSkhLY2tq+sVBEREREcjMp7RcMHz4cHTt2RGhoKIqKirB582asW7cOn376qS7yEREREcmi1CVp3LhxqFChAlavXg13d3f8/vvvGD16NHr16qWLfERERESyKHVJysvLg7e3NyZPnqx1/ODBg2jatOkbC0ZEREQkp1KXpAYNGiApKQlOTk5ax1UqFeLj499YMCIiIiI5lbokCSFw4MABvPvuu7rIQ0RERGQQSl2Shg0bhnbt2qF169awsLDQOvfTTz+9sWBEREREcip1SZoxYwbatWsHb29vXeQhIiIiMgilLkl9+/aFp6cnBg0aBDMzM11kIiIiIpJdqUvSt99+CwD4z3/+ozkmhIBKpUJxcfGbS0ZEREQko1KXpISEBF3kICIiIjIopS5J/fr1e25bkqf27dv3PwciIiIiMgSl3rutX79+CA4ORnBwMD766COo1WqcOXMGXbt2faPBxo8fj86dO2s+j42NhZ+fHxwdHTFu3DgIIXR6joiIiJSt1CXpaUEKDg7G0KFDsWLFCuzYsQN79ux5Y6FiY2OxcOFCzJ8/HwBQUFCAzp07w9fXFzExMYiLi0N4eLjOzhERERGVuiRJadSoEeLi4t7EU0EIgcGDB2PUqFGoXLkyAGDXrl3IzMzEvHnzULlyZcyaNQsrVqzQ2TkiIiKif7RO0rOKi4tx5MgRODs7v5FAy5Ytw5kzZzBw4EBERkaiXbt2OHv2LBo2bAgrKysAQO3atTWlTBfnpBQUFKCgoEDzeVZW1ht5vURERGSYSj2SlJCQoPWRlJSERo0aYcuWLf9zmJycHHzxxRfw8fHBrVu3MG/ePDRt2hRZWVlQq9Wax6lUKhgbGyMjI0Mn56TMnj0b9vb2mg83N7f/+fUSERGR4Sr1SNLKlSt1kQMAsGXLFuTm5mLfvn1wcnLChAkTUKtWLfz0008ICQnReqyFhQXy8vJgYmICc3PzN3rO0dHxuWwTJkzAmDFjNJ9nZWWxKBEREb3F3sicpDfl1q1b8Pf3h5OTEwDAxMQEtWvXRn5+PtLS0rQem52dDTMzMzg5Ob3xc1LMzc1hZ2en9UFERERvL4MqSW5ubnj48KHWsZs3b+Lbb7/FsWPHNMdu3LiBgoICODk5wc/P742fIyIiInqty239+/d/rSf76aef/qcwAQEBGDFiBBYvXoxOnTphy5YtOHPmDH7++WdMmzYNq1evRt++fTFnzhy0bt0axsbGaNq0KTIzM9/oOSIiIqLXKkkeHh66zgEAcHJywu7duzF27FiMGTMGFSpUwIYNG+Dt7Y2lS5ciKCgI48aNQ3FxMaKiogA8viT3ps8RERERqcS/aJnp5ORkxMTEoHHjxs8tOaCLcy+TlZUFe3t7ZGZm6nR+kuf4HTp7bn26MSdA7ghERESl+vld6rvb5OTi4gIXFxe9nSMiIiLlMqiJ20RERESG4h+VpAULFqB69eqwtbVFjRo18MMPP7zpXERERESyKvXltunTp2Pt2rWYPn06vLy8cO3aNUyfPh0ZGRmYPHmyLjISERER6V2pS9KyZcsQGRmJunXrAgD8/f1RvXp1dOrUiSWJiIiI3hqlvtxmamqK7OxsrWPZ2dkwNTV9Y6GIiIiI5FbqkaSwsDB89NFHGDVqFLy8vBAfH4/58+djypQpushHREREJItSl6Thw4ejQoUKWLZsGdasWQN3d3csWrQIXbt21UU+IiIiIlm8VklKTk7WWkuoW7du6Natm85CEREREcntteYkubm5oUaNGhg9ejR27tyJvLw8XeciIiIiktVrlaTTp09j6NChSE5OxsCBA+Hk5ISWLVti9uzZOHnypK4zEhEREenda11uq1OnDurUqYNPP/0UAHDlyhUcOnQIhw4dwvLly5GVlYXWrVtj/fr1Og1LREREpC//aMVtS0tLmJubw9TUFEZGRnj06BEKCwvfdDYiIiIi2bzWSNK1a9cQFRWFgwcP4uDBg0hOTkaDBg3Qpk0brF69Gg0aNICxsbGusxIRERHpzWuVpCpVqsDb2xtt2rTBd999h5YtW8LOzk7X2YiIiIhk81olKT4+Hp6enjqOQkRERGQ4XmtOEgsSERERKc0/mrhNRERE9LZjSSIiIiKSwJJEREREJIEliYiIiEgCSxIRERGRBJYkIiIiIgmlLklFRUVYtmwZACAtLQ0jR47EiBEjcOfOnTcejoiIiEgupS5JwcHBWL58OQDg008/RVxcHC5fvozg4OA3Ho6IiIhILq+14vazdu7ciVOnTqGoqAi7d+9GYmIisrOzUbVqVV3kIyIiIpJFqUuSlZUVbt++jYSEBPj4+MDe3h4XLlyAvb29LvIRERERyaLUJWnMmDFo3rw5VCoVli9fjtOnT+PDDz/EkCFDdJGPiIiISBalLklhYWHo3LkzLCws4OHhgeTkZKxZswZt2rTRRT4iIiIiWZS6JAHAO++8o/m1i4sLXFxc3lggIiIiIkPwj5YAmDVrFvz9/eHi4oILFy6gQYMGuH79ui7yEREREcmi1CVp2LBh+PXXXzFgwABkZ2fDysoKDRs2xODBg3WRj4iIiEgWpS5JmzdvxubNmxEaGgpjY2MYGxtjzJgxOH78uC7yEREREcmi1CXJzc0NBw8e1Dp27do1qNXqNxaKiIiISG6lnrg9d+5cBAYGYsmSJcjLy0NYWBgOHTqEVatW6SIfERERkSxKXZLat2+PuLg4rF+/HnXr1oWrqyu+/vprjiQRERHRW+UfLQHg5eWFSZMmveksRERERAaj1HOSiIiIiJSAJYmIiIhIwmtdblOr1VCpVK98XHx8/P8ciIiIiMgQvFZJCg8P13EMIiIiIsPyWiWpWbNmus5BREREZFA4J4mIiIhIwhsrSYWFhW/qqYiIiIhkV+p1km7fvo2ZM2fiypUrKC4uBgAIIXDp0iXcvn37jQckIiIikkOpR5J69+6Nu3fvwtLSEpaWlvjoo49w+fJlDB06VBf5iIiIiGRR6pJ04sQJ/PjjjwgLC0NmZiaGDh2KFStWYPfu3brIR0RERCSLUpekSpUq4c8//4Sfnx8uXLiAhw8fombNmjh//rwu8hERERHJotRzkmbPno1evXqhbdu2CAwMRK1atQAA77333hsPR0RERCSXUpekDz/8ECkpKbC1tcXSpUuxbt065OTkoG/fvrrIR0RERCSLUpckAHB0dAQAJCUlwdfXF1WrVoWJyT96KiIiIiKD9Fpzkm7fvo1u3bqhe/fummNhYWHw8PCAr68vfHx8cO7cOZ2FJCIiItK31ypJwcHBEEJg8uTJAIA1a9Zg0aJF2L9/P/Lz89GnTx+MGDFCp0GJiIiI9Om1rpEdO3YMFy9ehIuLCx49eoSpU6fi888/1+zpNmTIEMyfP1+XOYmIiIj06rVGkqpUqYK9e/cCAL766itkZGRg9OjRmvOHDh1CxYoVdZOQiIiISAavNZL0448/IjAwEIMHD4ZKpcLPP/8MW1tbxMfHY+DAgTh69ChWrlyp66xEREREevNaJcnf3x/x8fG4ePEi3Nzc4OzsDACwtLTEBx98gAULFqBmzZo6DUpERESkT6+94ralpSXq1aunKUgAULFiRYwaNUpnBal9+/YIDw8HAMTGxsLPzw+Ojo4YN24chBCax+niHBERESlbqbcl0Ze1a9fi999/BwAUFBSgc+fO8PX1RUxMDOLi4jTlSRfniIiIiAyyJN2/fx9jx47FO++8AwDYtWsXMjMzMW/ePFSuXBmzZs3CihUrdHaOiIiIyCCXyR47diy6du2Khw8fAgDOnj2Lhg0bwsrKCgBQu3ZtxMXF6ewcERERkcGNJO3fvx979+7F119/rTmWlZUFtVqt+VylUsHY2BgZGRk6OSeloKAAWVlZWh9ERET09jKokpSfn4/Bgwdj0aJFsLOz0xw3MTGBubm51mMtLCyQl5enk3NSZs+eDXt7e82Hm5vb//JSiYiIyMAZVEn68ssv4efnh4CAAK3jTk5OSEtL0zqWnZ0NMzMznZyTMmHCBGRmZmo+kpKS/unLJCIion8Bg5qTtG7dOqSlpcHBwQEAkJeXh02bNsHT0xNFRUWax924cQMFBQVwcnKCn58fli9f/kbPSTE3N39u5ImIiIjeXgY1knTo0CHExsbizJkzOHPmDD744APMmDEDBw8eRGZmJlavXg0AmDNnDlq3bg1jY2M0bdr0jZ8jIiIiMqiRJFdXV63PbWxsULZsWZQtWxZLly5FUFAQxo0bh+LiYkRFRQF4PF/pTZ8jIiIiUol/0TLTycnJiImJQePGjbVW/tbVuZfJysqCvb09MjMztSaZv2me43fo7Ln16cacgFc/iIiISMdK8/PboEaSXsXFxQUuLi56O0dERETKZVBzkoiIiIgMBUsSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIgoncAYj+LTzH75A7whtxY06A3BGIiP4VOJJEREREJIEliYiIiEgCSxIRERGRBJYkIiIiIgksSUREREQSWJKIiIiIJLAkEREREUlgSSIiIiKSwJJEREREJIEliYiIiEgCSxIRERGRBJYkIiIiIgksSUREREQSWJKIiIiIJLAkEREREUkwuJK0bds2eHl5wcTEBP7+/rh48SIAIDY2Fn5+fnB0dMS4ceMghNB8jS7OERERkbIZVEm6fv06QkJCMGfOHCQnJ8PDwwMDBw5EQUEBOnfuDF9fX8TExCAuLg7h4eEAoJNzRERERAZVki5evIhZs2bh448/Rvny5TF06FDExMRg165dyMzMxLx581C5cmXMmjULK1asAACdnCMiIiIykTvAszp16qT1+eXLl+Ht7Y2zZ8+iYcOGsLKyAgDUrl0bcXFxAKCTc1IKCgpQUFCg+TwrK+tNvGQi+gc8x++QO8IbcWNOgNwRiOglDKokPauwsBDffPMNRo8ejfj4eKjVas05lUoFY2NjZGRkICsr642fc3R0fC7P7NmzMX36dB29WiKif6+3obSysJIUg7rc9qwvvvgCNjY2CA0NhYmJCczNzbXOW1hYIC8vTyfnpEyYMAGZmZmaj6SkpDfwKomIiMhQGWRJ2rNnDxYvXox169bB1NQUTk5OSEtL03pMdnY2zMzMdHJOirm5Oezs7LQ+iIiI6O1lcCUpPj4evXr1wqJFi1C9enUAgJ+fH44dO6Z5zI0bN1BQUAAnJyednCMiIiIyqJL08OFDdOrUCYGBgejSpQtycnKQk5OD999/H5mZmVi9ejUAYM6cOWjdujWMjY3RtGnTN36OiIiIyKAmbv/++++4ePEiLl68iGXLlmmOJyQkYOnSpQgKCsK4ceNQXFyMqKgoAICJickbP0dERERkUCUpMDDwhatee3p64urVq4iJiUHjxo3h7Oys9XVv+hwREREpm0GVpFdxcXGBi4uL3s4RERGRcv2rShIRERG9GNeserMMauI2ERERkaFgSSIiIiKSwJJEREREJIEliYiIiEgCSxIRERGRBJYkIiIiIgksSUREREQSWJKIiIiIJLAkEREREUlgSSIiIiKSwJJEREREJIEliYiIiEgCSxIRERGRBJYkIiIiIgksSUREREQSWJKIiIiIJLAkEREREUlgSSIiIiKSwJJEREREJIEliYiIiEgCSxIRERGRBJYkIiIiIgksSUREREQSWJKIiIiIJLAkEREREUlgSSIiIiKSwJJEREREJIEliYiIiEgCSxIRERGRBJYkIiIiIgksSUREREQSWJKIiIiIJLAkEREREUlgSSIiIiKSwJJEREREJIEliYiIiEgCSxIRERGRBJYkIiIiIgksSUREREQSWJKIiIiIJLAkEREREUlgSSIiIiKSwJJEREREJIEliYiIiEgCSxIRERGRBJYkIiIiIgksSUREREQSWJKIiIiIJLAkEREREUlgSSIiIiKSwJJEREREJIEliYiIiEgCSxIRERGRBJYkIiIiIgksSUREREQSWJKIiIiIJCi+JMXGxsLPzw+Ojo4YN24chBByRyIiIiIDoOiSVFBQgM6dO8PX1xcxMTGIi4tDeHi43LGIiIjIACi6JO3atQuZmZmYN28eKleujFmzZmHFihVyxyIiIiIDYCJ3ADmdPXsWDRs2hJWVFQCgdu3aiIuLk3xsQUEBCgoKNJ9nZmYCALKysnSasaQgT6fPry+6/nPSB74XhoPvhWF5G94PvheGQ9fvxdPnf53pNYouSVlZWVCr1ZrPVSoVjI2NkZGRAUdHR63Hzp49G9OnT3/uOdzc3HSe821gP1/uBPQU3wvDwffCcPC9MBz6ei+ys7Nhb2//0scouiSZmJjA3Nxc65iFhQXy8vKeK0kTJkzAmDFjNJ+XlJTg/v37KFOmDFQqlV7y6kJWVhbc3NyQlJQEOzs7ueMoGt8Lw8H3wnDwvTAsb8P7IYRAdnY2KlWq9MrHKrokOTk5ITY2VutYdnY2zMzMnnusubn5c4XKwcFBl/H0ys7O7l/7F/5tw/fCcPC9MBx8LwzLv/39eNUI0lOKnrjt5+eHY8eOaT6/ceMGCgoK4OTkJGMqIiIiMgSKLklNmzZFZmYmVq9eDQCYM2cOWrduDWNjY5mTERERkdwUfbnNxMQES5cuRVBQEMaNG4fi4mJERUXJHUuvzM3NMXXq1OcuJZL+8b0wHHwvDAffC8OitPdDJbjENJKTkxETE4PGjRvD2dlZ7jhERERkAFiSiIiIiCQoek4SERER0YuwJBERERFJYEkiIiIiksCSRERERCSBJUmh8vLysHv3bixduhTp6enYuXOn3JEU6/z5888du3r1Krp37y5DGiLDcunSJfzxxx/Izs5+bocE0o+tW7ciPz9f7hiyYElSoIMHD8LV1RUDBgzAp59+irt376J///749ttv5Y6mSK1bt9asz3X37l0MGTIEvr6+8PT0lDeYAsXHx6NXr14QQiAmJga1a9dGrVq1cPjwYbmjKc6FCxdQpUoV1KpVCwEBAbh58yb8/f2xdu1auaMpzsyZM1G+fHl8/PHH2LhxI3JycuSOpDcsSQo0dOhQfP3110hOToa1tTVsbGywadMmfPfdd3JHU6RffvkFPXv2xMCBA1GjRg2Ympri8uXL+Oabb+SOpjjBwcGws7ODSqXC6NGjERAQgA8++ADDhg2TO5rihISEoGfPnsjMzISNjQ3s7OywceNGTJ06Ve5oihMTE4Nr167hgw8+wPbt21G9enV06dJFs1vF24zrJClQ2bJlER0dDbVaDUdHR5w9exYAUK9ePdy7d0/mdMp0+fJldOzYEV27dmU5kpG1tTWuXr0KOzs7VKxYERkZGUhLS4O3tzdyc3Pljqcojo6OiI2NhYuLi+b7lLGxMWrUqIEHDx7IHU/RLl++jBkzZmDDhg0oLi6WO45OKXpbEqXq0qULgoKCMH36dAghcOvWLSxduhRdunSRO5pizJgx47lj7du3x/z583H37l34+PgAAKZMmaLvaIrm4eGBjRs3Ij8/H40aNYKJiQn27dsHDw8PuaMpTosWLfDpp5/i66+/hkqlQnFxMRYvXoxWrVrJHU1xHj58iP3792PXrl3YvXs3HBwc0L17d0ybNk3uaDrHkSQFysnJwciRI7Fu3ToUFBTA3Nwcffr0wbx582BjYyN3PEUICQl55WNUKhV++uknPaShp/744w8EBwfDysoK69evR05ODgICArB27Vp8+OGHcsdTlNTUVAQFBWHfvn0AHu+12bx5c/z8888oV66czOmUxcrKCu+++y4+/PBDdO/eXVH/aWBJUjAhBNLS0uDs7AyVSiV3HCKDk5eXh5KSEv7nQUbJyclITk6Gq6srKlWqJHccRUpOToaLi4vcMWTBkqRA+fn52LBhA5KSkvD3t5+Xd+QRERGBxYsXIykpCe7u7hg6dCg6deokdywiWR04cEDy+1Tfvn1lSkRPJSUl4e7du6hfv77cUXSKc5IUqGvXrjh9+jRatWoFMzMzzXGOJslj8eLFmDp1KkaNGgUvLy9cu3YNAwYMwIwZMzB48GC54ynKwoULERgYyBELA9CnTx9s3rwZ9erVe+77FEuSflWvXh3R0dGwtrbWHEtPT8cHH3yAlJQUGZPpHkeSFMja2honTpxAjRo15I5CALy8vBAeHo6mTZtqjkVFRaFfv35ISEiQMZnyVK1aFfPnz0f79u3ljqJ4NjY22LNnDxo1aiR3FMUzMjJCZmYmbG1tNcdu3bqFatWqITs7W8ZkuseRJAVq1KgRzp8/z5JkIPLz82Fvb691zN7eXrEr3Mpp8uTJmDlzJpo0acJ5SDKrXr06l12QWf/+/TW/Hjp0qGZETwiBY8eOoWvXrnJF0xuWJAUaPHgwwsLCEBMTg+bNm8POzk5z7tnRDNKPgQMHokePHpg+fTrUajXi4+Mxbdo0XmqTwbVr11BSUgIfHx/07dtX6/IC5+vp11dffYURI0Zg+PDhz32fcnd3lzGZcjy9i02lUsHNzQ0WFhYAHo8stW3bFh9//LGc8fSCl9sUSK1WSx5XqVSIj4/XcxoqKSnBd999h2XLlmkmboeGhmLkyJEwMuKi+Pr0oqUZuByD/r3o7/7TNZNIf4yMjPDgwQOtoqoULElERET0Qhs3bkT37t1hbGwsdxS9Y0lSqDNnzmDp0qVaIxd16tSRO5ZicQkAw3LixAkkJSXBw8Pjrb/F2ZClpKTg559/1rwXvXv3RoUKFeSORQrCsXwF+u233/D++++juLgYTZo0QVFREd5//31s27ZN7miKtHjxYgwaNAjvv/8+vvjiCzRu3BgDBgzAkiVL5I6mOMnJyahfvz7atGmDL774Aq1atYKfn99bf5uzIfrrr79QtWpV7N27F48ePcIff/yBd955B0eOHJE7GikIR5IUqFq1apgzZ47WXm1bt27FhAkTcPHiRRmTKROXADAcnTp1gqurKxYsWAAzMzPk5+dj5MiRuHXrFnbs2CF3PEXx9fXF0KFDMXDgQM2xZcuWYdGiRTh16pSMyUhJeHebAt27dw/Vq1fXOla9enWkpaXJlEjZuASA4fjrr79w/vx5za3OFhYWmDRpEmrXri1zMuVJSEhA69attY61adMGn3/+uUyJSIl4uU2BPv74YwQHB+P48eNITU3FsWPH0K9fP3zyySdyR1Okp0sAbNy4ESdOnMCGDRvwySefcAkAGdSqVQurVq3SOrZq1SrUrFlTpkTK1a5dO4waNQp3794FANy5cwejR49Gu3btZE5GwON9DZWw6TMvtylQQUEBwsLCsGLFCuTn58PS0hIDBw7E119/rVkHg/SHSwAYjtjYWLRr1w52dnZQq9VISEhAdnY2fv/9dy6+qmcPHjxAnz59sGPHDlhYWKCgoACdO3fGypUr4ejoKHc8xSsoKMCcOXMwdepUuaPoFEuSggkhcO/ePZQtW5b7thE9kZubi+3bt2sKa6dOnbQWlST9unPnjua9KF++vNxxSGFYkhQoPz8fGzZskNxdm6sKyyMuLg5btmzB7du3Ub58eQQGBnIejIEQQqCkpESRa8TI7cCBA5Lfp7jBrf4pddkYjuUrUNeuXTF+/HhcunQJCQkJmo8bN27IHU2RVq5cCV9fXxw/fhwAcOrUKTRq1AjLly+XOZnyDBs2DAUFBVrH9u3b99yNDqR7ffr0QYcOHbB48WKsXLlS8xEeHi53NMVR8rIxHElSIGtra5w4cYJzLAyEu7s7fvjhB3zwwQeaYzt37sTgwYORlJQkYzLlMTY2RkZGhtb2C3fu3IFarcbDhw9lTKY8NjY22LNnDxo1aiR3FMVT8rIxXAJAgRo1aoTz58+zJBmIR48ewdvbW+uYWq3m5R09Wr16NYDHl9bWrVsHKysrzed//vknV92WQfXq1ZGbmyt3DIKyl41hSVKIgwcPan49ePBghIWFISYm5rndtZ9d0JB059n3o2/fvggMDMS4cePg6emJpKQkfPPNN1r/ayPdWrlyJYDHm6euXbsWJiaPvzUaGRnB29sb69evlzOeYiQmJmp+/dVXX2HEiBEYPnz4c9+n3N3d5YinWE+Xjfnuu++gVqsRHx+PMWPGKGLZGF5uUwi1Wv3Kx6hUKsTHx+shDfH9MExK3u3cEBgZGUGlUj03UftZKpUKxcXFekxFf182xsrKCgMGDFDEsjEsSURETwwdOhTz58+Hubm53FGIDI4Sl41hSVKoO3fu4I8//sDdu3dRqVIltGvXDmXLlpU7lmIdOXIEERERSEpKwqxZs/Djjz9ixowZb/3/0v4t0tLS4OzsLHcMxcnPz8eJEyc036f8/Pw0W8aQft28eRO7du1CUlISPv30U/z2228YOnToW1+WuASAAm3fvh2VK1fGvHnzcODAAcyZMwdqtRq7du2SO5oiLViwAO3bt0diYiJ+++03FBYW4sSJExg+fLjc0RQnLi4OAQEB8PHxgZeXF7y8vKBWq+Hq6ip3NMU5evQoKleujA8//BDTpk1D586d4e3tjejoaLmjKc4vv/yCqlWrYvXq1fj222+RlZWFH374AePHj5c7ms5xJEmBfHx8MHHiRISEhGiOrVixAnPmzMHVq1dlTKZMLi4u2LJlC/z9/eHo6IizZ88iJycHTZo0wf379+WOpyj+/v5o1KgRsrOzkZWVhf79+2PMmDEIDQ3F6NGj5Y6nKHXq1MFHH32EiRMnwsjICMXFxZg5cya2bNmCs2fPyh1PUby8vPD9998jICBA8z0qLS0NHTt21Oyt97biSJIC5ebmonnz5lrHmjdvjry8PHkCKZypqelzQ9YlJSWwtbWVKZFyxcbGYuLEiQgNDcXNmzfRoUMHLF++nAsYyiAlJQV9+/bV7F9obGyMfv364fbt2zInU578/Hx4eXlpHbO3t1fE3pJv/yuk5/Tu3Rt9+/bF/v37cfXqVezZswfBwcEYMGAAEhMTtW7DJd0bPnw4OnbsiIkTJ6KoqAibN29GSEgIRowYIXc0xalSpQp++ukn1KlTB9evX8e9e/dQrlw5JCQkyB1NcQYPHoyxY8ciISEBRUVFuHr1KsaMGYORI0fKHU1xevfujQ8++ABLly5FcXExjh07hhEjRqBPnz5yR9M5Xm5ToFe1f95iq39r1qzB6tWrkZycDFdXVwQHB6NXr15yx1KcQ4cO4aOPPsK5c+fwzTffYPHixVCpVPjggw+wZs0aueMpyrPfp6SWBeD3Kf159OgRZs+e/dz3qM8//1yzptjbiiWJiOgZT78lqlQqREVFIScnB+3bt+cK6Hp28+bNVz7Gw8NDD0lIyViSCABw5coVXLp0SWv/MNKPEydOwM/PT2te0vHjx7Ft2zbMmjVLxmRE+vXsSvQvw50BdG/GjBmv9bgpU6boOIm8WJIUyMrKCnfv3tWaGHzx4kU0bdpUEXvxGBqpTVUTExNRo0YNZGdny5hMeRYuXIjAwEBUqlRJ7iiK9OxK9CqVCjdv3oSxsTHKli2L9PR0PHr0CG5ubrhx44Z8IRXi2bufMzIyEBERgQYNGsDLywuJiYk4cuQIOnbsiMjISBlT6t7bfTGRJOXn5z93zMzMDEVFRTKkISHEc3e3nT17Fvb29jIlUq4FCxbAy8uLJUkmz06QHzFiBAoLC/HNN9/A1tYWubm5+Pzzz1FYWChjQuV4up8hALRs2RLLly9H//79NcdWr16tiLs+OZKkIC1atNDMs3jvvfc0E+6EEDh//jz69++PuXPnypxSOZ7uUyXF2toay5cvx8cff6znVMq2du1aLFq0CLt374aNjY3ccRTN1tYWFy5c0NrMNjExEXXr1uX6YXpmZ2eH06dPo3Llyppj169fR/369ZGRkSFjMt3jSJKC9OvXD0IIREVFoWfPnrCysgLw/3c6b9SokcwJlSUhIQFCCFSuXBlnzpzRXG4zMjJCxYoV3/q7RgzRtWvXUFJSAh8fH/Tt2xfW1taac2/73AtDU6tWLcyaNQuzZ8+Go6MjsrKy8N///hfvvPOO3NEUp1OnTggKCsKECRPg6uqKlJQUzJ07F+3atZM7ms5xJEmBuNO5YbG0tERqaioXjzQAz87DeJZKpcJPP/2k5zTKdvXqVfTs2ROnT5+GpaUlHj58iNq1a2PdunWoVq2a3PEUJTc3F5MnT8bWrVtx+/ZtlCtXDl26dMHMmTPf+p8jLEkKdPz4cTRo0OCt35iQiP79EhMTNT+Yn53YTaQPXHFbgfz9/VmQDMyCBQtQvXp12NraokaNGvjhhx/kjqRoeXl5uHLlCgoKCjj/RUYlJSUwNjZGxYoVYWxsjJs3b2Lr1q1yxyIFYUlSoPfffx+nT5+WOwY9MX36dPzwww+YPHky/vzzT0ycOBELFizAl19+KXc0xUlOTkabNm1ga2uL6tWr4/Lly3B1dcUff/whdzTF+fXXX+Hg4AB3d3eo1Wp4enrCy8tL6w4rIl3jzFAFsra2RnR0NN599125oxCAZcuWITIyEnXr1gXweKSvevXq6NSpEyZPnixvOIXp27cv1Go14uLi0LBhQzg4OGDRokUICwvDuXPn5I6nKJ999hmWLl2K27dv49KlS5g/fz4++eQTtGzZUu5oijBjxgyMHz8eZmZmL11Y8m2/oYElSYEWLlyIbt26wcHBgbeYGwBTU9PnFo3Mzs6GqampTImU6+TJk1i9ejVcXFw0x9q0acPNhmWQmpqKFi1aICMjA0uWLIGlpSXmzp2Ltm3bcpNbPUhISEBJSYnm11KUMG2DE7cVSK1WIz8/H3fv3kX58uVhaWmpORcfHy9jMmX68ccf8eWXX2LUqFHw8vJCfHw85s+fjylTpmDYsGFyx1OUNm3awMfHB3PnzoW7uzvOnj2Lbdu2YevWrfjzzz/ljqco7du3h6WlJdavXw9vb28sX74cubm5CA0NRXp6utzxSCFYkhQoKirqheeaNWumxyT01K+//oply5YhKSkJ7u7uCA0NRdeuXeWOpTjXrl1D586dkZCQgKKiIri4uMDW1hYRERFaC+mR7qWkpGDkyJFYsmQJ/vjjD4SEhKCoqAj//e9/MXr0aLnjkUKwJBERPaO4uBhHjx5FSkoKXF1d4e/vD2NjY7ljKV5BQQEKCwu5nhjpFUuSQt25cwfXr19HcXExgMdbk5w+fRqjRo2SN5gCXb58GbNnz0ZSUhL+/s9x3759MqVSpp49e+L7779H2bJltY4/ePAAhw8fRps2bWBmZiZTOuXJy8vDwYMHkZiYiG7duuH48ePo2LGj3LEUZ9SoUejevTuaNGkidxS948RtBfrxxx8xevRomJiYwMrKCqampkhNTUXNmjVZkmTQrVs3ODs7IygoiD+AZZaamoqff/4Zly9fRvXq1TFo0CBYWFjgww8/xJ07d9C2bVvMnz9f7piKcPDgQQQGBsLS0hJpaWlo0qQJ+vfvj3HjxmHs2LFyx1MUExMTDBkyBOnp6QgMDES3bt3QokULRYywciRJgVxdXbF+/Xpcu3YN+/btw+rVqzF48GA4Ozvjq6++kjue4kht5EnyCA4OxqVLl9CqVStER0fj0aNH2LdvH8zMzHDu3Dm0bt0aycnJcsdUhBo1amDUqFEYNGgQHB0dcfbsWdy4cQNBQUG4deuW3PEU6datW9i9ezd2796N06dPo1mzZm/9dj0sSQpkb2+PuLg4FBYWomXLlkhISMDNmzfRqFEjpKSkyB1PcT799FPY2dlh1qxZckdRPEdHR5w7dw5ubm4oKSmBpaUl4uLiULNmTaSkpKB8+fIoLCyUO6YilC1bFtHR0VCr1ZqSBAD16tXDvXv3ZE6nXLdu3cLOnTsRERGBc+fOITExUe5IOsXLbQrUrl07dOvWDfv27YOpqSkWL16Mhw8fyh1LsZycnDR38DRv3lxrw8i3faE2Q9OoUSP85z//QUBAAI4dOwZra2vEx8drNiF2dHSUO6JidOnSBUFBQZg+fTqEELh16xaWLl2KLl26yB1Ncfbv349du3Zh586dePjwIT788EN88cUXaNiwodzRdI4jSQqUk5OD6dOn44svvsDJkycxYMAA5OTkYMGCBejZs6fc8RSHO88bjszMTMydOxdnzpyBt7c3qlWrhtmzZ6Nr167YvHkz2rZty/dET3JycjBy5EisW7cOBQUFMDc3R58+fTBv3jzY2NjIHU9R3nnnHXTv3h0ffvghfH195Y6jVyxJRESv4erVq/Dw8ODkej0TQiAtLQ3Ozs6KWOGZDAtLkgIFBwdjw4YNePTo0XPnni4JQEQkp/z8fGzYsEFyaQxehiZ94ZwkBfrjjz/wyy+/oE6dOnJHISKS1LVrV5w+fRqtWrXSGr3jaBLpE0eSFGjJkiVYv349goKCYGFhoXWub9++MqUiksfBgwfRpEkTGBkZ4eDBgy98XNOmTfWYiqytrXHixAnUqFFD7iikYCxJCqRWq2Fqaqq10znw+H9oXOHZcGRlZWnd6Ua6oVarcf78edjY2ECtVks+RqVScfNnPWvdujUGDhyITz75RO4opGAsSQrUvn17TJ48Ge+9957cUegFMjMz4eTkxDlipCjPjuTdvXsXYWFh+Oijj55bGoOjevLLysqCp6cn7t+/L3cUnWJJUiA/Pz+cP38e9erVe+5yG0eSDIMQAomJifDw8JA7CpHevGgk71kc1TMMxcXF+Ouvv9CsWTO5o+gUS5ICrVq16oXngoOD9ZiEiIjIcBnJHYD0Lzg4GI0aNUJwcDD69u0LOzs72NjYcNK2TO7fv49JkyYBAK5fv44uXbqgc+fOuHjxoszJiIiAoqIiLFu2DACQlpaGkSNHYsSIEbhz547MyXSPJUmB5s6di/r160MIgc8//xzDhw/HiBEjMHz4cLmjKVLv3r0RGxsL4PE+bvb29ihTpgwGDBggczLlCQoKYjkl+pvg4GAsX74cwOPvUXFxcbh8+bIi/mPNy20KVKFCBURGRqJ+/fqoWLEiDh06hMLCQjRp0uStn4RniGxsbHDx4kU4OzvD2dkZqampePDgAby9vZGbmyt3PEVp0qQJhg0bhqCgILmjEBkMBwcHnDp1Cm5ubihbtiwSExORnZ2NqlWrIicnR+54OsXFJBWooKAATk5OuHjxIqysrODt7Y2LFy9ykTaZODs749ixY8jPz0edOnVgaWmJgwcPonz58nJHU5z/+7//Q79+/eDt7Y0GDRrIHYfIIFhZWeH27dtISEiAj48P7O3tceHCBdjb28sdTedYkhSoc+fO6NChA0pKStCjRw/cuHEDw4YNQ9u2beWOpkhffvklevXqBTMzM/zyyy84evQounbtinnz5skdTXHCwsJQXFyMRo0aoX79+rC2ttac452f8svJyUHTpk1x6tQpuaMoypgxY9C8eXOoVCosX74cp0+fxocffoghQ4bIHU3neLlNgQoLC7Fy5UpYWloiKCgIly5dwvr16/H5559z8UKZ5ObmwtjYGBYWFrh//z7u3buHKlWqyB1LcXjnp2ErKirCunXr+F7I4PLly7CwsICHhweSk5MRFxeHNm3ayB1L51iSiIiIiCTw7jYimUVGRnLCvIwWLVqEq1evAgBSU1NlTkPPioiIQMeOHVGrVi0EBAQgMjJS7kiKlJWVhTFjxiAqKgoA0LFjRwwbNuytn7QNsCQRye7TTz/F6dOn5Y6hWBMnTtSsPF+xYkVkZWXJnIgAYPHixRg0aBDef/99fPHFF2jcuDEGDBiAJUuWyB1NcYYMGYIzZ86gUqVKAIBx48bh+vXrGDFihMzJdI+X24hkNm/ePBw4cAC//fYbjI2N5Y6jOI6Ojjh+/DiqVKkCIyMjZGZmwtbWVu5Yiufl5YXw8HCtfdqioqLQr18/JCQkyJhMeRwdHXH27Fm4u7trjiUkJKB+/fpIT0+XMZnu8e42IpmVKVMG9+7dQ7169TBkyBCtO6qUsFib3EJDQ1G3bl1UqFABKpUKtWrVgpHR84Ps3C9Mv/Lz85+7xdze3h75+fkyJVIuZ2dnxMbGapWkixcvokyZMjKm0g+OJBEA5ezobIhatGgheVylUvG2cz2JjY3FvXv30KpVK0RERMDGxua5x7ztG3kamilTpmDTpk2YPn061Go14uPjMW3aNHzyySeYNm2a3PEUZf369QgNDUXfvn3h6emJhIQE/Pzzz1i2bBl69OghdzydYkkiAMrZ0ZnoZYyMjPDgwQMuhWEASkpK8N1332HZsmVISkqCh4cHBg0ahJEjR0qO9JFuHT16FOHh4bh16xbc3NwQEhICf39/uWPpHEsSkQEpLCyEqakphBD8QSCDu3fvcqVzItLgd2EFUvKOzoYoOzsboaGhKF++PKysrHDu3Dm4urri5MmTckdTnPLlyyMvLw+7d+/G0qVLkZ6ejp07d8odi4hkwpEkBQoKCsL169dx/Phx9OjRA/fv39fs2/bHH3/InE55unfvjry8PIwcORIff/wxzp07h3Xr1mHbtm04duyY3PEU5eDBgwgMDISlpSXS0tJw5swZtGzZEuPGjcPYsWPljkdEesaSpEBK3tHZEDk4OCA2Nhaurq6aW22NjIxQrVo1ZGdnyx1PUWrUqIFRo0Zh0KBBmvfixo0bCAoKwq1bt+SO99abMWMGxo8fDzMzM8yYMeOFj5syZYoeUylTy5YtERkZCSsrK7Ro0eKFG6C/7TeXcAkABVLyjs6GqGrVqli1ahUmTZoElUoFlUqFo0ePokaNGnJHU5y7d++idevWWsc8PT1527meJCQkoKSkRPNrKS/6YU1vVnBwMMzMzAAA/fr1kzeMjDiSpEDffPMNJkyYoNnRuVatWujQoQOGDBnCW2tlEB0djY4dO8LMzAypqanw8/PDzZs3ERERAV9fX7njKcqAAQMQFxeH6dOn4+OPP8bOnTuxdOlSGBsbY8WKFXLHIyI9Y0lSKKXu6GyoMjMzERkZieTkZLi6uiIgIIAjezLIycnByJEjsW7dOhQUFMDCwgK9e/fGvHnzJNdOIqK3G0sSkQESQqCkpITblMhECIG0tDQ4Ozvz8g6RgrEkKVBWVhamTZuGLl26oFmzZujYsSM8PT0xd+5c/m9ZBsOGDcN3330Hc3NzzbG9e/di2LBhuHz5sozJiPTrZZO1n8WJ2/p1+PBhTJo0CUlJSfh7ZXjbt+thSVKgoKAg3LlzB0uWLIGPjw/279+POXPmoFKlSli5cqXc8RTH2NgYGRkZWqs837lzB2q1Gg8fPpQxmfK8//77WLBgAd599125oyhSSEiI5tcZGRmIiIhAgwYN4OXlhcTERBw5cgQdO3ZEZGSkjCmVR61Wo3HjxujXr59mMvdTb/suDby7TYF27dqltaNzixYt4Onpifr168ucTFlWr14N4PGlnXXr1sHKykrz+Z9//sn3QwbW1taIjo5mSZLJs/9Ja9myJZYvX47+/ftrjq1evRrh4eEyJFO2Bw8e4KuvvoKnp6fcUfSOJUmBlLyjsyF5+gNBpVJh7dq1MDF5/M/RyMgI3t7eWL9+vZzxFGnhwoXo1q0bHBwc8PHHH8sdR9FiYmI0OwM89d5772HkyJEyJVKuMWPGYNq0aVi2bBlMTU3ljqNXvNymQEre0dkQcVNVw6FWq5Gfn6/Zw83S0lJz7m2fe2Fonu4MMGHCBLi6uiIlJQVz586Fq6srNmzYIHc8RQkJCcHOnTthYmKCRo0aaX2v+umnn2RMpnscSVKgnj17wtPTE+Hh4Thw4ADc3NywZ88eRezobIgGDx6sNWmb5MNLOYZj2bJlmDx5MsaMGYPbt2+jXLly6NKlC2bOnCl3NMXx9PTEsGHD5I4hC44kEcksMTHxheeevSRKRCS39PR0RU3NYEkikpmRkRFUKpXm1tpn1+UpLi6WKxaRrEJCQl64RtXbfonH0BQWFmL8+PFYunQpHj58CCsrKwwePBizZs167m63t42R3AGIlK6kpATFxcUoKSlBbm4u9u/fj+bNm2Pv3r1yRyOSjaenJzw8PODh4QFnZ2fcvHkTGzduRKVKleSOpjhjx47F0aNHsWfPHqSkpGD37t04fPgwwsLC5I6mcxxJUgju6Pzvkpubi6ZNm+LkyZNyRyEyGL/++isiIyO5npuelStXDn/99ReqVKmiOXb58mW8//77SE1NlTGZ7nHitkJwR+d/l9TUVNy+fVvuGEQGpVu3bpg4caLcMRTHyckJly9ffq4kOTk5yZhKP1iSFCI4OFjy1yQ/tVr93Dyk27dvY9SoUfKFIo2cnBw0bdoUp06dkjuKojxdbPWp4uJi/PXXX5r1xEh/Zs6ciZ49e6J3797w8vJCfHw81q5di1WrVskdTef4t41IZn+/7VylUsHV1RVeXl7yBCIt5ubmXMBQBn+/pPb038Uvv/wiUyLl6t69Ozw9PbF8+XJERUXB3d0dBw4cgK+vr9zRdI5zkogMRElJCdLT01G2bFnuPE9EZAA4kqRASt7R2RDdvXsXQ4YMwY4dO1BcXAwTExMEBgbi+++/R7ly5eSOpyipqalYuHCh5L8N3nauf9HR0bhy5YpmKQwhBE6fPo358+fLG0xhzp8/j8qVK2v2l1QSliQF6t27Nxo3boxJkya99Wtc/BuEhITAzMwMJ06cgIuLC27evIkvv/wSISEh2LFjh9zxFCUwMBCZmZkIDAzkvw2ZTZo0CT/++CMsLCxgY2ODMmXKIDo6Gm3btpU7muK0a9cO69evR7NmzeSOone83KZAjo6OOH36tCJ3dDZEDg4OOHv2LDw8PDTHbty4gbp16+LBgwfyBVMgGxsbnDt3jvPBDED58uWxd+9exMXFYdOmTdi8eTOmTJmC1NRULF68WO54ijJx4kTcuXNHkaOpXExSgZ7u6FxUVCR3FALQvHlzbNq0SevY+vXr+T9mGXTs2JGjdwbi0aNHsLKyQpMmTXD06FEAj/c53Lx5s8zJlKdVq1a4dOkSAgICsGvXLhw8eFDz8bbjSJICKXlHZ0Pk7++P6OhouLm5wdXVFYmJiUhOTkajRo00G99ykU/9WLhwIWbOnIlGjRqhRYsWWv82+vbtK2My5Rk6dCh2796N8+fPo2nTpmjbti2KioqwdetWXL9+Xe54iqJWqyWPq1Sqt34eK0uSAk2fPv2F56ZOnarHJATgtdYa4dpW+tGiRQvJ4yqVikVVz4qLi7F48WIEBwcjPj4eI0eORE5ODubMmYNWrVrJHY8UgiVJ4ZS2o7Mh2rlzJ7Zt2yZ5+ZMje0RE8uGcJAUqLCzEmDFjYGNjg3LlysHW1hZhYWEoLCyUO5oi9erVCw8fPtRs5vnsB+nfkSNHMH78ePTq1Qs3b97EZ599hvz8fLljEclm06ZNmmUYnjp06BD69OkjUyL94UiSAo0YMQIxMTGYN28evLy8cO3aNYSFhcHPzw8LFiyQO57iDB48GLVr18agQYN427nMFixYgC+++AKdOnXC1q1bcfbsWQwaNAiVK1fGihUr5I5HJAtjY2NkZGRozdFLSUmBj48PcnNzZUymeyxJCqTkHZ0NUUhICFatWqW1yrYQAiqV6rn/vZFuubi4YMuWLfD394ejoyPOnj2LnJwcNGnSBPfv35c7HpFeJSYmAgA8PT1x/vx52NraAnj8/SkyMhLz58/H1atX5Yyoc1xMUoGUvKOzIdq7dy+2bt2KOnXqyB1F8UxNTZ/bEqakpETzw4FISTw9PaFSqaBSqVCrVi3NcZVKBR8fHyxdulTGdPrBkqRASt7R2RC1bt0a8+bNQ1BQECwsLLTO8bZz/Ro+fDg6duyI0NBQFBUVYfPmzVi/fj1GjBghdzQCkJWVBU9PT47q6UlJSQkAwMjICBkZGbC3t5c5kf7xcptCxcTEYPny5UhKSoK7uzsGDhyoiB2dDRFvOzcsa9aswerVq5GcnAxXV1cEBwejV69ecsciPF4W4K+//lLk9hhyqlatGmJiYmBtbS13FL1jSSIyAEIInDhxArdu3YK7uzv8/PzkjkREpHhcAkCBzp8/j7y8PLlj0BMpKSlo0KAB2rVrhy+++AKtW7dGgwYNcPv2bbmjKc7ly5fRr18/tGrVCi1bttT6IP0qKirCsmXLAABpaWkYOXIkRowYgTt37sicTHmys7MxZswYREVFAXi8fc+wYcOQk5MjczLd40iSAlWqVEmxOzobok6dOsHV1RULFiyAmZkZ8vPzMXLkSNy6dYv7iOlZzZo14ezsjKCgoOeWY+Cq5/oVFBSE69ev4/jx4+jRowfu37+vmVT/xx9/yJxOWXr27Im7d+9iyZIl8PHxwf79+zFnzhxUqlQJK1eulDueTrEkKZCSd3Q2RA4ODjh//jzc3Nw0xxITE1G7dm08ePBAvmAKZGtriwsXLsDd3V3uKIrn4OCAU6dOwc3NDWXLlkViYiKys7NRtWpVRYxgGJKny2E8++8iISEB9evXR3p6uozJdI+X2xRIyTs6G6JatWo9d2fhqlWrULNmTZkSKVdwcDAWL14sdwwCYGVlhdu3b+PgwYPw8fGBvb09EhMTFXmHldycnZ0RGxurdezixYuK2NKKI0kKpOQdnQ1RbGws2rVrBzs7O6jVasTHxyM7Oxt//PEHatSoIXe8t96MGTM0v3706BGWLFkCNzc3NG/eXGuF4SlTpsgRT7G++eYbTJgwASqVCsuXL0etWrXQoUMHDBkyBNOmTZM7nqKsX78eoaGh6Nu3Lzw9PZGQkICff/4Zy5YtQ48ePeSOp1MsSUQGIDc3F9u3b0dSUhI8PDwQEBCgyNtt5RASEvLKx6hUKl6elsHly5dhYWEBDw8PJCcnIy4uDm3atJE7liIdPXoU4eHhuHXrFtzc3BASEgJ/f3+5Y+kcSxKRzOLi4tC7d29MmDABH330EWrVqgUhBLZs2aK1KjoREekX5yQpkJJ3dDZEgwcPRsuWLdG2bVsAwLFjx9CpUycMGTJE5mTKU1xcjAULFiAmJgYAEBoairlz53IPPRlkZWUp9rZzQ1NUVIRZs2ahYcOGcHFxwYULF9CgQQNcv35d7mg6x5KkQD179nxu5+bKlStjy5YtMiVStjNnzmDs2LGaCanW1tYYMWIETp48KXMy5RkxYgSWLl0KE5PHOzY1a9YM69evx2effSZzMuUZMmQIzpw5g0qVKgEAxo0bh+vXr3OLGBkMGzYMv/76K/r374/s7GxYWVmhYcOGGDx4sNzRdI6X2xSEOzobpsaNGyMwMFDrB/GcOXMQERGBI0eOyJhMeZydnXHkyBH4+Phojl26dAnNmjXD3bt3ZUymPEq+7dzQODo64tSpU1Cr1Zr3paSkBLVq1UJ2drbc8XSKG9wqCHd0Nkw//vgjOnTogFWrVmnuHMnIyMDu3bvljqY4VlZWSEtL0ypJ6enpMDc3lzGVMj297fzZkqSU284NjZubGw4ePKh1Z/S1a9deeKf024QlSUG4o7Nhevfdd3H16lVERkbi1q1b6NOnDwICAjQjfaQ/o0ePRvfu3TF69GhNYZ0/fz4+//xzuaMpzvTp09GjRw/J285Jv+bOnYvAwEAsWbIEeXl5CAsLw6FDh55b3+1txMttCqTkHZ2JXmXDhg1YuXKl1q3Ob/taMIZKqbedG6L4+HisX78eycnJcHV1Rc+ePRUxksSSRERERCSBd7cpkJJ3dCZ6mRMnTuDv/288fvw4Jk6cKFMiIpITS5IChYaG8tZaIgmNGjV67m6dihUr4vvvv5cpERHJiRO3FWj37t1at9a2aNECnp6eqF+/vszJiOQlhIBKpdI6dvbsWd7koCctW7ZEZGQkrKys0KJFi+fei6f27dun52TKo1arX/jn/6y3fb9PliQF4q21RNqMjIw0y2M4ODhonbO2tsby5cvlCaYwwcHBMDMzAwD069dP3jAKFx4eLncEg8CJ2wqk5B2diaTcvHkTQghUrlwZZ86cgZ2dHYDH5alixYqaFbiJSFlYkhSKt9YSPc/S0hKpqalco4roBQoLC2FqagohBIyM3v5pzSxJRERE9ELZ2dkYO3Ystm3bhvT0dJw8eRIdOnTA9u3b4evrK3c8nXr7ayA9R8k7OhPRv8Phw4fRvHlzVK5cGV5eXlofpF8hISG4desWVq9eDWtrazg4OGDEiBEYPny43NF0jiNJCjRo0CCcOnUKgwcPRlhYGM6ePYvvvvsOcXFx+PPPP+WOR0QEtVqNxo0bo1+/fprJ3E81a9ZMplTK5ODggNjYWLi6umo2uDUyMkK1atXe+g1uWZIUSMk7OhP9Xf/+/bFw4UJYWFigf//+L3zcTz/9pMdU5OjoiNOnT8PT01PuKIrXsGFDdO7cGZMmTYKTkxPOnj2LY8eO4dtvv8WxY8fkjqdTvGVDgZS8ozPR33l4eGgmoHp4eMichp4aM2YMpk2bhmXLlsHU1FTuOIr2/fffo2PHjli4cCGys7PRo0cP3Lx5ExEREXJH0zmOJCnQ7t27ERgYiHr16uHkyZPo0qWLZkfntm3byh2PiAghISHYuXMnTExM0KhRI82yDABH9eSQmZmJyMhIzQa3AQEBilhklSVJoZS6ozMR/TtMnz79heemTp2qxySkZCxJRERk0NLT07kjAMmCSwAQET0hdXfn/v370aBBAxnSKFthYSHGjBkDGxsblCtXDra2tggLC0NhYaHc0UhBWJKIiJ7o3bs31q1bBwA4d+4c2rdvj969e6NPnz4yJ1OesWPH4ujRo9izZw9SUlKwe/duHD58GGFhYXJHIwXh5TaF4I7ORK926dIldOrUCZ6enrhw4QLCwsIwfPhwWFhYyB1NccqVK4e//voLVapU0Ry7fPky3n//faSmpsqYjJSESwAoBHd0Jnq1qlWr4siRI+jcuTM6d+6MsWPHyh1JsZycnHD58uXnSpKTk5OMqUhpOJJERIomtYBkbm4ufv31VzRp0kSzDQZvO9evzZs3o1+/fujduze8vLwQHx+PtWvXYtWqVfjwww/ljkcKwZEkhVPajs5Ef/eiBSSrV6+u5yT0rO7du8PT0xPLly9HVFQU3N3dceDAgbd+Q1UyLBxJUiAl7+hMRET0ujh0oEBK3tGZiP4dzp8/j7y8PLljkMJxJEmBlLyjMxH9O1SqVAnr169Hs2bN5I5CCsaRJAWqWrUqVq1aBQBQqVRQqVQ4evQoatSoIXMyIqLH+vXrp/k+RSQXjiQpUHR0NDp27AgzMzOkpqbCz89Ps6Mz5yQRPS8rK0trg1XSvb1792Ly5MlwdHTEp59+Cmtra825pk2bypiMlIQlSaGUuqMzUWllZmbCyckJxcXFckdRlBdtuK1SqbjoLekNSxIR0UsIIZCYmPjCpQKI6O3FkkREREQkgRO3iYieuH//PiZNmgQAuH79Orp06YLOnTvj4sWLMidTnk2bNj13ifPQoUPcbJj0iiNJRERPdOzYEaampti2bRs6dOgAZ2dnGBkZ4cqVKzhy5Ijc8RTF2NgYGRkZWhPmU1JS4OPjg9zcXBmTkZJwWxIioicOHjyIixcvIj8/H3/99RdSU1Px4MEDeHt7yx1NMRITEwE8nguWlJQEW1tbzeeRkZGoVKmSnPFIYViSiIiecHZ2xrFjx5Cfn486derA0tISBw8eRPny5eWOphienp6a9dtq1aqlOa5SqeDj44OlS5fKmI6UhiWJiOiJL7/8Er169YKZmRl++eUXHD16FF27dsW8efPkjqYYJSUlAAAjIyNkZGRwaRKSFeckERE9Izc3F8bGxrCwsMD9+/dx7949VKlSRe5YilOtWjXExMRoLSJJpG8sSUREEgoLC2FqagohBIyMeCMwkRLxXz4R0RPZ2dkIDQ1F+fLlYWVlhfPnz8PV1RUnT56UO5riZGdnY8yYMYiKigLw+M7DYcOGIScnR+ZkpCQsSURET4SEhODWrVtYvXo1rK2tYW9vjxEjRmD48OFyR1Oc0NBQnDlzRnM327hx43D9+nWMGDFC5mSkJLzcRkT0hIODA2JjY+Hq6gpHR0ecPXsWRkZGqFatGrKzs+WOpyhP//zd3d01xxISElC/fn2kp6fLmIyUhCNJRERPVK1aFatWrQIAzW3oR48eRY0aNWROpjzOzs6IjY3VOnbx4kWUKVNGpkSkRBxJIiJ6Ijo6Gh07doSZmRlSU1Ph5+eHmzdvIiIiAr6+vnLHU5T169cjNDQUffv2haenJxISEvDzzz9j2bJl6NGjh9zxSCFYkoiInpGZmYnt27cjJSUFrq6uCAgI4Fo9Mjl69CjCw8Nx69YtuLm5ISQkBP7+/nLHIgVhSSIieoHU1FSUK1dO7hhEJBPOSSIieiIuLg716tXDL7/8AgBo1aoVatSogStXrsicTHmKioowa9YsNGzYEC4uLrhw4QIaNGiA69evyx2NFIQliYjoicGDB6Nly5Zo27YtAODYsWPo3LkzhgwZInMy5Rk2bBh+/fVX9O/fH9nZ2bCyskLDhg0xePBguaORgvByGxHRE7a2trhy5QoqVqyoOZacnIzq1asjMzNTxmTK4+joiFOnTkGtVmuWAygpKUGtWrW4HAPpDUeSiIieqFWrFtasWaN1bM2aNVwCQAZubm44ePCg1rFr165BrVbLlIiUiCNJRERPnD59Gh06dECZMmU0t51nZGRg9+7dqFOnjtzxFGX37t0IDAxEvXr1cPLkSXTp0gWHDh3CqlWrNJdDiXSNJYmI6BnZ2dmIjIzU3HYeEBAAW1tbuWMpUnx8PNavX4/k5GS4urqiZ8+eHEkivWJJIiJ6RkFBAVJTU/H3b43Pbo9BRMpgIncAIiJD8f3332PcuHEoKirSHBNCQKVSobi4WMZkRCQHjiQRET3h5OSE6dOnY8iQITA1NZU7DhHJjCNJRERP2NnZoVWrVixIMlGr1VCpVK98XHx8vB7SELEkERFpfP/99wgNDcXixYtRs2ZNueMoTnh4uNwRiLTwchsR0RNqtRrp6enIzc2Fo6Mj7OzsNOc4ekGkPBxJIiJ6giMZhqmwsBCmpqYQQsDIiGsgk/5wJImI6BXS0tLg7OwsdwxFyc7OxtixY7Ft2zakp6fj5MmT6NChA7Zv3w5fX1+545FCsJITET0RFxeHgIAA+Pj4wMvLC15eXlCr1XB1dZU7muKEhITg1q1bWL16NaytreHg4IARI0Zg+PDhckcjBeFIEhHRE/7+/mjUqBGys7ORlZWF/v37Y8yYMQgNDcXo0aPljqcoDg4OiI2Nhaurq2aDWyMjI1SrVo0b3JLecCSJiOiJ2NhYTJw4EaGhobh58yY6dOiA5cuXc66SDKpWrYpVq1YBAFQqFVQqFY4ePcrNhkmvOJJERPTEu+++ix49emDUqFFwcXHB5cuXkZGRAV9fX2RlZckdT1Gio6PRsWNHmJmZITU1FX5+frh58yYiIiI4J4n0hne3ERE9sWDBAnz00Ufo378/BgwYAC8vL6hUKnTp0kXuaIrj5+eHa9euITIyUrPBbUBAAOzt7eWORgrCkSQiomc8/ZaoUqkQFRWFnJwctG/fHsbGxjInIyJ9Y0kiIiIiksCJ20REREQSWJKIiIiIJLAkEZGiGRsba+5cMzIygrGxsdbH02NEpDy8u42IFC0+Pl6zkW1CQoLMaYjIkHDiNhEREZEEXm4jIiIiksCSRERERCSBJYmIiIhIAksSERERkQTe3UZEimZkZASVSvXC80IIqFQqFBcX6zEVERkCliQiUjTe9k9EL8IlAIiIiIgkcE4SERERkQSWJCKivykpKUFaWho40E6kbCxJRERP3L17F4GBgbCwsECFChVgYWGBHj16IDU1Ve5oRCQDliQioidCQkIAACdOnMCdO3dw+PBh5Ofna44TkbJw4jYR0RMODg44e/YsPDw8NMdu3LiBunXr4sGDB/IFIyJZcCSJiOiJ5s2bY9OmTVrH1q9fj7Zt28qUiIjkxJEkIqIn/P39ER0dDTc3N7i6uiIxMREpKSlo2LAhzM3NAQD79u2TOSUR6QsXkyQiemLYsGFyRyAiA8KRJCKivykpKUF6ejrKli370i1LiOjtxjlJRERP3L17F127duUSAEQEgCWJiEgjJCQEQgguAUBEAHi5jYhIg0sAENGzOJJERPQElwAgomdxJImI6Im/LwFw8+ZNpKSkoFGjRlwCgEiBuAQAEdETL1oCIDU1FeXKldNzGiKSG0eSiIieuHDhAsaNG4erV6+iuLgYACCEQEpKCgoKCmROR0T6xjlJRERP9O/fH1WqVEHTpk3h6+uLH3/8ERYWFpgzZ47c0YhIBhxJIiJ6wtraGgkJCUhISMCIESNw4sQJHD58GMOGDcPZs2fljkdEesaRJCKiJ6pUqYKffvoJderUwfXr13Hv3j2UK1cOCQkJckcjIhmwJBERPbFgwQLMnz8fWVlZGDBgALy8vFC/fn106dJF7mhEJANebiMiesbTb4kqlQpRUVHIyclB+/btYWxsLHMyItI3liQiIiIiCbzcRkRERCSBJYmIiIhIAksSERERkQSWJCLSiwcPHqB79+6wtrZGvXr1EBMTI3ckvTl//jz8/Pxga2uLzp07IzU1tdTPER4ejubNm7/5cET0QixJRKQXISEhyM3NxZkzZzBw4EB88MEHePjw4Wt9bfPmzREeHq7bgDqSm5uLDh06oE2bNjh37hzKlCmD0NBQuWMR0WvgBrdEpHMJCQnYtm0bkpOTUbFiRfj4+ODrr7/Gvn37EBAQIHc8ndq0aRNsbW0xa9YsAMDUqVPh5eWF3NxcWFtby5yOiF6GI0lEpHOHDx+Gl5cXKlasqDk2fPhw2NvbAwAOHTqEunXrwsrKCn5+foiNjQUADBkyRLNeUUhICFQqFYYMGaJ5jujoaPj7+8Pe3h4ffvghMjMzNef27dsHtVoNFxcXfPbZZ3Bzc0NERAQAYPPmzXjnnXdQtmxZfPrpp8jPz9d8naenJ/78809MnDgRFSpU0GxHMmDAAHz66aeax+3ZswcuLi4oKSl55Wt/7733NJ+7ublh8ODByM3NfWWWL7/8Es7OzvD29sapU6e0nnf16tXw8fFB2bJlMXHiRHA1FyIdEEREOjZnzhzRuHFjyXPFxcWiXLlyYubMmeL27dviP//5j2jfvr0QQoi8vDyRkZEh3nvvPfHjjz+KjIwMkZeXJ4QQIiMjQ5QpU0ZMnz5d3Lx5U7Rr104MGDBACCFESUmJqFSpklizZo3Yv3+/sLa2FleuXBFZWVkiOjpaWFlZid9++01cvHhR+Pv7i5EjR2ryeHh4iIYNG4rg4GCxb98+kZ2dLYQQYvfu3aJSpUqipKRECCHEsGHDtL7uRdq3by8mTpwoee5lWbZt2yYcHR1FVFSUOHz4sHBychLNmjUTQghx8OBBYWZmJiIjI8X58+eFq6urWLNmzSuzEFHp8HIbEelcUVHRS1esPnv2LOzt7XHu3DlkZ2fjypUrAABLS0tYWlrCxMQEVlZWcHBw0HxNZGQkTE1NMXnyZKhUKowePRp9+vQBAKSlpSElJQUff/wxzMzMYGtri3v37sHHxwfLli1Dr169EBgYCACYN28eWrduje+++w4qlQoAYG9v/9wcqFatWqGwsBBHjx5Fo0aNEBERgU2bNv1Pr/1lWX777Tf06tULTZs2BQAMHDgQx48fBwCsWrUKXbt21Vyq7N27NyIiItC7d+9X5iGi18eSREQ65+DggIyMDK1jjRs3Rp8+fTB06FDMmzcPy5cvh5eXFzw8PFBcXPzK50xOTkZaWhocHR0BACUlJcjOzkZ+fj7KlCkDBwcHHD16FK6ursjMzIS3tzcAICkpSVM8AMDLywsPHz7EvXv34OzsDAAYMWLEc7+fiYkJunbtii1btsDExARGRkZo2LBhqV97UVERzMzMEBcX99Ist2/fRsuWLbXOPS1JycnJ2L9/v6Y0FhYWonbt2q/MQkSlw5JERDr37rvv4sqVK8jKyoKdnR2Ax5O53d3dceDAASxatAjXrl1D+fLlsXPnTpw8eVLr642MjJ6bc+Pq6or69etjw4YNAB7vuZaZmQlTU1OUlJTA19cXHTt2xKNHjzBnzhxNAXJ3d0d8fLzmea5fvw4rKyuULVtWc+xFE6p79OiBQYMGwczMDB9//LFm5OlVr3379u1av59KpYKrq+tLs5QrVw4pKSmac4mJiVqvfciQIRg1ahSAx8XrVXOjiOgfkPt6HxG9/UpKSsS7774revToIa5fvy6+/PJLUaZMGZGTkyO2b98ubGxsxOXLl8Vff/0l3nnnHeHu7q719YMGDRJBQUEiJSVF7NmzRzx69EhkZGSIChUqiI0bN4rExEQxa9YsUb58eVFUVCT27t0r3n33XREXFyfu3Lmj9VzPzgO6dOmS8Pf3F6NGjdKc9/DwEPv375d8HY8ePRLlypUT9vb2Ijo6+rVee1JSkrCxsRFz584V8fHxIjAwULRr1+6VWTZv3izKli0rDh8+LI4dOyacnZ215iR5enqKo0ePiqtXr4qPPvpIdOvW7bXyENHrY0kiIr24deuW6NChg7CwsBD16tUTJ06cEEIIUVRUJIKCgoS1tbWoWbOm+Oabb4SJiYlWuUlMTBTvvfeeMDc3F97e3qKwsFAIIcSJEydEgwYNhJWVlfDz8xPHjx8XQgiRnZ0tXF1dhZOTk1CpVMLW1lZMnz5d83y//PKLqFKliihTpowYNmyYePjwoebcy0qSEEIMHTpUVK5cuVSv/eDBg6JWrVrC2tpafPDBB1qv7UVZSkpKxJQpU0TZsmXFO++8IwYOHKgpSUIIER4eLry9vYWNjY3o0qWLuHv3bqkyEdGrqYTgfaNE9HaZPHkybt26ha+++gpmZmbYs2cPPv30U6Snp//j53z48CHS0tIwc+ZMlCtXDjNnznyDiYnIEHFOEhG9dQIDAzF8+HBUqVIFjx49QpUqVbB48eL/6Tnv37+PqlWrokqVKvjjjz/eUFIiMmQcSSIiIiKSwBW3iYiIiCSwJBERERFJYEkiIiIiksCSRERERCSBJYmIiIhIAksSERERkQSWJCIiIiIJLElEREREEliSiIiIiCT8P4XJ0DbYqtZUAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#关于销量最好的五个销售类别的可视化分析\n",
    "# 统计每个category_code的数量（代表销量）\n",
    "category_sales = data['category_code'].value_counts()\n",
    "\n",
    "# 取销量前五的类别\n",
    "top_five_categories = category_sales.head(5)\n",
    "\n",
    "# 绘制柱状图\n",
    "top_five_categories.plot(kind='bar')\n",
    "plt.xlabel('Category Code')\n",
    "plt.ylabel('Sales Volume')\n",
    "plt.title('Top 5 Best - Selling Categories')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ff38f0be-f36c-4960-96a7-45da9f9884cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#每日流量的可视化分析,pv:页面浏览量，uv:独立访客数\n",
    "# 提取日期作为新列\n",
    "data['date'] = data['time'].dt.date\n",
    "\n",
    "# 按日期统计订单数作为PV\n",
    "daily_pv = data.groupby('date')['order_id'].count()\n",
    "\n",
    "# 按日期统计不同用户数作为UV\n",
    "daily_uv = data.groupby('date')['user_id'].nunique()\n",
    "\n",
    "# 合并PV和UV数据到一个DataFrame\n",
    "result = pd.DataFrame({'date': daily_pv.index, 'pv': daily_pv.values, 'uv': daily_uv.values})\n",
    "\n",
    "# 设置绘图风格为深色背景\n",
    "plt.style.use('dark_background')\n",
    "\n",
    "# 绘制图形\n",
    "fig, ax1 = plt.subplots(figsize=(12, 6))\n",
    "\n",
    "# 绘制PV曲线\n",
    "color = 'tab:red'\n",
    "ax1.set_xlabel('Date')\n",
    "ax1.set_ylabel('PV (times)', color=color)\n",
    "ax1.plot(result['date'], result['pv'], color=color, label='pv', marker='o')\n",
    "ax1.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "# 创建第二个y轴用于UV\n",
    "ax2 = ax1.twinx()\n",
    "color = 'tab:green'\n",
    "ax2.set_ylabel('UV (people)', color=color)\n",
    "ax2.plot(result['date'], result['uv'], color=color, label='uv', marker='o')\n",
    "ax2.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "# 设置标题和图例\n",
    "plt.title('Daily Traffic Trend Chart')\n",
    "lines, labels = ax1.get_legend_handles_labels()\n",
    "lines2, labels2 = ax2.get_legend_handles_labels()\n",
    "ax2.legend(lines + lines2, labels + labels2, loc='upper right')\n",
    "\n",
    "# 旋转x轴日期标签\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "54827b3b-9a8b-4a74-bca6-71c8269fe3b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 从上图我们可以看出数据变动较大的部分集中在右部，故分筛选2020年的数据作可视化分析\n",
    "data_2020 = data[(data['time'].dt.year == 2020)]\n",
    "\n",
    "# 按日期统计订单数作为PV\n",
    "daily_pv = data_2020.groupby('date')['order_id'].count()\n",
    "\n",
    "# 按日期统计不同用户数作为UV\n",
    "daily_uv = data_2020.groupby('date')['user_id'].nunique()\n",
    "\n",
    "# 合并PV和UV数据到一个DataFrame\n",
    "result = pd.DataFrame({'date': daily_pv.index, 'pv': daily_pv.values, 'uv': daily_uv.values})\n",
    "\n",
    "# 设置绘图风格为深色背景\n",
    "plt.style.use('dark_background')\n",
    "\n",
    "# 绘制图形\n",
    "fig, ax1 = plt.subplots(figsize=(14, 7))\n",
    "\n",
    "# 绘制PV曲线\n",
    "color = 'tab:red'\n",
    "ax1.set_xlabel('日期')\n",
    "ax1.set_ylabel('PV (次数)', color=color)\n",
    "ax1.plot(result['date'], result['pv'], color=color, label='PV', marker='o', markersize=3, linewidth=1)\n",
    "ax1.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "# 创建第二个y轴用于UV\n",
    "ax2 = ax1.twinx()\n",
    "color = 'tab:green'\n",
    "ax2.set_ylabel('UV (人数)', color=color)\n",
    "ax2.plot(result['date'], result['uv'], color=color, label='UV', marker='o', markersize=3, linewidth=1)\n",
    "ax2.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "# 设置标题和图例\n",
    "plt.title('2020年每日流量趋势图')\n",
    "lines, labels = ax1.get_legend_handles_labels()\n",
    "lines2, labels2 = ax2.get_legend_handles_labels()\n",
    "ax2.legend(lines + lines2, labels + labels2, loc='upper right')\n",
    "\n",
    "# 旋转x轴日期标签\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "# 设置网格线\n",
    "ax1.grid(True, linestyle='--', alpha=0.5)\n",
    "ax2.grid(True, linestyle='--', alpha=0.5)\n",
    "\n",
    "# 自动调整布局\n",
    "plt.tight_layout()\n",
    "\n",
    "# 显示图形\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f4c7fb71-85d4-4901-bd25-7418534f542a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "工作日各品牌销售订单数:\n",
      "brand\n",
      "a-case        199\n",
      "acana           3\n",
      "accesstyle     45\n",
      "action          1\n",
      "activision     12\n",
      "             ... \n",
      "zhorka         18\n",
      "zlatek          1\n",
      "zowie         184\n",
      "zugo           18\n",
      "zwilling       73\n",
      "Name: order_id, Length: 838, dtype: int64\n",
      "\n",
      "非工作日各品牌销售订单数:\n",
      "brand\n",
      "a-case        96\n",
      "accesstyle    17\n",
      "action         2\n",
      "activision     5\n",
      "adidas         2\n",
      "              ..\n",
      "zhiyun        45\n",
      "zlatek         1\n",
      "zowie         56\n",
      "zugo           5\n",
      "zwilling      48\n",
      "Name: order_id, Length: 703, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# 提取星期几（0表示星期一，6表示星期日 ）\n",
    "data['weekday'] = data['time'].dt.weekday\n",
    "\n",
    "# 标记工作日（0 - 4 为工作日，5、6 为非工作日 ）\n",
    "data['is_weekday'] = data['weekday'].apply(lambda x: 1 if x in range(5) else 0)\n",
    "\n",
    "# 按是否为工作日和品牌统计订单数\n",
    "workday_brand_sales = data[data['is_weekday'] == 1].groupby('brand')['order_id'].count()\n",
    "non_workday_brand_sales = data[data['is_weekday'] == 0].groupby('brand')['order_id'].count()\n",
    "\n",
    "print(\"工作日各品牌销售订单数:\")\n",
    "print(workday_brand_sales)\n",
    "print(\"\\n非工作日各品牌销售订单数:\")\n",
    "print(non_workday_brand_sales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e4389c3-fd97-4d7a-ad40-de3742c8ba5d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "尝试加载字体时出错: name 'FontProperties' is not defined\n",
      "将使用默认字体设置\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_chinese_font_path():\n",
    "\n",
    "    fonts = [\n",
    "            r\"C:\\Windows\\Fonts\\simsun.ttc\",     # 宋体\n",
    "            r\"C:\\Windows\\Fonts\\simhei.ttf\",     # 黑体\n",
    "            r\"C:\\Windows\\Fonts\\msyh.ttc\",       # 微软雅黑\n",
    "        ]\n",
    "  \n",
    "    # 检查字体文件是否存在\n",
    "    for font_path in fonts:\n",
    "        if os.path.exists(font_path):\n",
    "            return font_path\n",
    "    \n",
    "    # 如果没有找到任何字体，返回None\n",
    "    return None\n",
    "\n",
    "# 获取中文字体路径\n",
    "font_path = get_chinese_font_path()\n",
    "\n",
    "# 如果找到字体路径，则使用该路径加载字体\n",
    "if font_path:\n",
    "    try:\n",
    "        chinese_font = FontProperties(fname=font_path)\n",
    "        plt.rcParams[\"font.family\"] = chinese_font.get_name()\n",
    "        print(f\"成功加载中文字体: {font_path}\")\n",
    "    except Exception as e:\n",
    "        print(f\"尝试加载字体时出错: {e}\")\n",
    "        print(\"将使用默认字体设置\")\n",
    "else:\n",
    "    print(\"未找到系统中可用的中文字体，将使用默认字体设置\")\n",
    "    plt.rcParams[\"font.family\"] = [\"sans-serif\"]  # 使用系统默认字体\n",
    "\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决负号显示问题\n",
    "\n",
    "# 示例数据生成\n",
    "np.random.seed(42)\n",
    "dates = pd.date_range(start='2023-01-01', end='2023-12-31', freq='D')\n",
    "data = pd.DataFrame({\n",
    "    'time': dates,\n",
    "    'order_id': range(1, len(dates) + 1),\n",
    "    'amount': np.random.normal(100, 20, len(dates))\n",
    "})\n",
    "\n",
    "# 数据预处理\n",
    "data['weekday'] = data['time'].dt.weekday\n",
    "data['is_weekday'] = data['weekday'].apply(lambda x: 1 if x < 5 else 0)\n",
    "\n",
    "# 统计订单数和销售额\n",
    "workday_sales = data[data['is_weekday'] == 1]['order_id'].count()\n",
    "non_workday_sales = data[data['is_weekday'] == 0]['order_id'].count()\n",
    "workday_amount = data[data['is_weekday'] == 1]['amount'].sum()\n",
    "non_workday_amount = data[data['is_weekday'] == 0]['amount'].sum()\n",
    "\n",
    "# 创建综合数据\n",
    "sales_data = pd.DataFrame({\n",
    "    '工作日类型': ['工作日', '非工作日'],\n",
    "    '订单数': [workday_sales, non_workday_sales],\n",
    "    '销售额': [workday_amount, non_workday_amount]\n",
    "})\n",
    "\n",
    "#工作日与非工作日销售情况对比的可视化\n",
    "fig, ax1 = plt.subplots(figsize=(12, 7))\n",
    "ax2 = ax1.twinx()\n",
    "\n",
    "colors = ['#4a8fe7', '#f26d6d']\n",
    "bar_width = 0.4\n",
    "r1 = np.arange(len(sales_data['工作日类型']))\n",
    "r2 = [x + bar_width for x in r1]\n",
    "\n",
    "bars1 = ax1.bar(r1, sales_data['订单数'], width=bar_width, \n",
    "                color=colors[0], alpha=0.8, label='订单数')\n",
    "\n",
    "bars2 = ax2.bar(r2, sales_data['销售额'], width=bar_width, \n",
    "                color=colors[1], alpha=0.8, label='销售额')\n",
    "\n",
    "def add_labels(bars, ax, value_format='{:.0f}'):\n",
    "    for bar in bars:\n",
    "        height = bar.get_height()\n",
    "        ax.text(bar.get_x() + bar.get_width()/2., height + 0.02 * height,\n",
    "                value_format.format(height), ha='center', va='bottom', \n",
    "                fontsize=12, fontweight='medium')\n",
    "\n",
    "add_labels(bars1, ax1)\n",
    "add_labels(bars2, ax2, value_format='{:.1f}万元')\n",
    "\n",
    "ax1.set_title('工作日与非工作日销售情况对比分析', fontsize=18, pad=20, fontweight='bold')\n",
    "ax1.set_xlabel('工作日类型', fontsize=15, labelpad=10)\n",
    "ax1.set_ylabel('订单数', fontsize=14, labelpad=10, color=colors[0])\n",
    "ax2.set_ylabel('销售额 (万元)', fontsize=14, labelpad=10, color=colors[1])\n",
    "\n",
    "plt.xticks([r + bar_width/2 for r in range(len(sales_data['工作日类型']))],\n",
    "           sales_data['工作日类型'], fontsize=13)\n",
    "\n",
    "ax1.set_ylim(0, max(sales_data['订单数']) * 1.1)\n",
    "ax2.set_ylim(0, max(sales_data['销售额']) * 1.1)\n",
    "\n",
    "ax1.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "\n",
    "lines, labels = ax1.get_legend_handles_labels()\n",
    "lines2, labels2 = ax2.get_legend_handles_labels()\n",
    "ax2.legend(lines + lines2, labels + labels2, loc='upper center', \n",
    "           frameon=False, fontsize=12, ncol=2)\n",
    "\n",
    "stats_text = f\"\"\"\n",
    "数据统计：\n",
    "- 工作日总天数：{data[data['is_weekday'] == 1]['time'].nunique()} 天\n",
    "- 非工作日总天数：{data[data['is_weekday'] == 0]['time'].nunique()} 天\n",
    "- 工作日平均订单：{workday_sales/data[data['is_weekday'] == 1]['time'].nunique():.1f} 单/天\n",
    "- 非工作日平均订单：{non_workday_sales/data[data['is_weekday'] == 0]['time'].nunique():.1f} 单/天\n",
    "\"\"\"\n",
    "\n",
    "plt.figtext(0.01, 0.01, stats_text, fontsize=10, bbox=dict(facecolor='white', alpha=0.8))\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.subplots_adjust(bottom=0.15)# 新数据示例，这里假设新用户年龄为30，商品价格为100\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "7bd8d107-1c91-4d8a-9863-18fa53e0d9e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#热销产品种类推荐的可视化\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#读取数据\n",
    "data=pd.read_csv(\"电子产品销售分析.csv\")\n",
    "data\n",
    "# 提取category_code中的主类别（这里简单以第一个前的内容作为主类别）\n",
    "data['main_category'] = data['category_code'].str.split('.').str[0]\n",
    "\n",
    "# 统计每个主类别的订单数量\n",
    "category_order_count = data['main_category'].value_counts()\n",
    "\n",
    "# 绘制柱状图\n",
    "category_order_count.plot(kind='bar', color='skyblue')\n",
    "plt.title('热销种类推荐')\n",
    "plt.xlabel('产品类别')\n",
    "plt.ylabel('订单数量')\n",
    "plt.xticks(rotation = 45)  # 旋转x轴标签，防止重叠\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "74fd3bac-aaef-4de7-ae95-dd2428fb1783",
   "metadata": {},
   "outputs": [],
   "source": [
    "#购买商品数量预测的Model\n",
    "# 这里假设购买数量在数据中不存在，我们可以根据order_id和product_id简单统计每个用户购买每种产品的数量\n",
    "purchase_count = data.groupby(['user_id', 'product_id']).size().reset_index(name='purchase_amount')\n",
    "\n",
    "# 为了简单示例，选取部分特征和购买数量构建新的数据集\n",
    "selected_df = data[['age', 'price']].copy()\n",
    "selected_df['purchase_amount'] = purchase_count['purchase_amount']\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# 处理缺失值，这里简单用均值填充\n",
    "imputer = SimpleImputer(strategy='mean')\n",
    "selected_df[['age', 'price']] = imputer.fit_transform(selected_df[['age', 'price']])\n",
    "\n",
    "# 数据标准化\n",
    "scaler = StandardScaler()\n",
    "selected_df[['age', 'price']] = scaler.fit_transform(selected_df[['age', 'price']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d54b5659-dbb7-4ab0-8037-ff8e6b36cc8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# 特征和目标变量\n",
    "X = selected_df[['age', 'price']]\n",
    "y = selected_df['purchase_amount']\n",
    "\n",
    "# 划分训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "70a0f7b0-c753-4ec7-9108-0547051d0f9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "selected_df = selected_df.dropna(subset=['purchase_amount'])  # 删除purchase_amount列中含有NaN的行\n",
    "# 后续继续进行特征和目标变量的提取以及数据集划分等操作\n",
    "X = selected_df[['age', 'price']]\n",
    "y = selected_df['purchase_amount']\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e98c7336-74ce-40d5-ad54-e746db031891",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "均方误差: 0.4247936263220642\n",
      "R2 分数: -9.712954230578497e-05\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "\n",
    "# 初始化线性回归模型\n",
    "model = LinearRegression()\n",
    "\n",
    "# 训练模型\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# 预测\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "# 评估模型\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "r2 = r2_score(y_test, y_pred)\n",
    "print(f\"均方误差: {mse}\")\n",
    "print(f\"R2 分数: {r2}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "27ae2e6b-cac6-4a7f-b334-d36dfc58b71d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "预测购买数量: 1.185073630946863\n",
      "预测购买数量: 1.185073630946863\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "from sklearn.exceptions import DataConversionWarning\n",
    "\n",
    "# 忽略特定的警告\n",
    "warnings.filterwarnings(\"ignore\", category=DataConversionWarning)\n",
    "warnings.filterwarnings(\"ignore\", category=UserWarning)  \n",
    "\n",
    "# 新数据示例，这里假设新用户年龄为30，商品价格为100\n",
    "new_data = [[30, 100]]\n",
    "new_data = scaler.transform(new_data)  # 对新数据进行标准化\n",
    "predicted_amount = model.predict(new_data)\n",
    "print(f\"预测购买数量: {predicted_amount[0]}\")\n",
    "new_data = [[30, 100]]\n",
    "new_data = scaler.transform(new_data)  \n",
    "predicted_amount = model.predict(new_data)\n",
    "print(f\"预测购买数量: {predicted_amount[0]}\")"
   ]
  }
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